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Reed-Solomon Codes – Properties, Advantages, Applications, Generator Polynomial(ITC Hindi Classes)
 
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Reed-Solomon Codes – Properties, Advantages, Applications, Generator Polynomial(ITC Hindi Classes) Information Theory and Coding Lectures for Engineering Students in Hindi
Repairing Reed-Solomon Codes - Mary Wootters
 
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Mary Wootters gives a talk on "Repairing Reed-Solomon Codes" at the DIMACS Workshop on E+M=C2. http://dimacs.rutgers.edu/Workshops/EMC/program.html The DIMACS Workshop on E+M=C2 was held January 26-27, 2017 at the CoRE Building at Rutgers University.
Views: 4627 Rutgers University
Error Coding - Block Codes – Product Codes Theory and Example(ITC Lectures in Hindi)
 
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Error Coding - Block Codes – Product Codes Theory and Example(ITC Lectures in Hindi) Information Theory and Coding Lectures in Hindi for B.Tech, MCA and M.Tech students
Mod-01 Lec-13 BCH and RS Codes I
 
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Coding Theory by Dr. Andrew Thangaraj, Department of Electronics & Communication Engineering, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 19872 nptelhrd
Mod-01 Lec-14 BCH and RS Codes II
 
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Coding Theory by Dr. Andrew Thangaraj, Department of Electronics & Communication Engineering, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 7494 nptelhrd
Why we use Erasure Correcting Codes in Score
 
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This video describes the benefits of Erasure Correcting Codes (ECC) by providing two scenarions where data is lost. In one scenario there are no ECC and in the other we use ECC. Score link: http://steinwurf.com/_products/score.html
Views: 784 Steinwurf
NP-Hardness of Reed-solomon Decoding and the Prouhet-Tarry-Escott Problem
 
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Elena Grigorescu speaks at the Workshop on Additive Combinatorics held at the Center of Mathematical Sciences and Applications in October, 2017. Abstract: I will discuss the complexity of decoding Reed-Solomon codes, and some results establishing NP-hardness for asymptotically smaller decoding radii than the maximum likelihood decoding radius. These results follow from the study of a generalization of the classical Subset Sum problem to higher moments, which may be of independent interest. I will further discuss a connection with the Prouhet-Tarry-Escott problem studied in Number Theory, which turns out to capture a main barrier in extending our techniques to smaller radii. Joint work with Venkata Gandikota and Badih Ghazi.
Views: 200 Harvard CMSA
Kodo introduction
 
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This video describes our product called Kodo.The kodo software library implements a wide range of erasure correcting codes ranging from novel codes such as Random Linear Network Codes to traditional codes such as Reed-Solomon. The video explains what Kodo is and where it can be used. For more info visit us here: http://steinwurf.com/_products/kodo.html
Views: 541 Steinwurf
Efficiently decoding Reed-Muller codes from random errors
 
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1st place winner, Ben Lee Volk, Tel Aviv University The Feder Family Award for Best Student Work in Communications Annual Workshop & Feder Family Award Ceremony Advanced Communications Center Tel Aviv University 22/2/16
Views: 1504 TAUVOD
Lecture 9:Efficiently decoding Reed-Muller codes from random errors by Prof. Ramprasad Saptharishi
 
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Consider the following setting. Suppose we are given as input a "corrupted" truth-table of a polynomial f(x1,..,xm) of degree r = o(√m), with a random set of 1/2 - o(1) fraction of the evaluations flipped. Can the polynomial f be recovered? Turns out we can, and we can do it efficiently! The above question is a demonstration of the reliability of Reed-Muller codes under the random error model. For Reed-Muller codes over F_2, the message is thought of as an m-variate polynomial of degree r, and its encoding is just the evaluation over all of F_2^m. In this talk, we shall study the resilience of RM codes in the *random error* model. We shall see that under random errors, RM codes can efficiently decode many more errors than its minimum distance. (For example, in the above toy example, minimum distance is about 1/2^{√m} but we can correct close to 1/2-fraction of random errors). This builds on a recent work of [Abbe-Shpilka-Wigderson-2015] who established strong connections between decoding erasures and decoding errors. The main result in this talk would be constructive versions of those connections that yield efficient decoding algorithms. This is joint work with Amir Shpilka and Ben Lee Volk.
Views: 823 IIT Gandhinagar
Error Coding - Block Codes – Repetition Codes, Majority Vote Decoding with Example(ITC Hindi)
 
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Error Coding - Block Codes – Repetition Codes, Majority Vote Decoding with Example(ITC Hindi) Information Theory and Coding Lectures in Hindi for B.Tech, M.Tech, MCA Students
Cyclic Codes, Generator Polynomials, Systematic, Non-Systematic Coding Decoding with Example
 
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Cyclic Codes, Generator Polynomials, Systematic, Non-Systematic Coding Decoding with Example Information theory and Coding Lectures for B.Tech, M.Tech, MCA Students
Intel® ISA-L Erasure Coding Sample Application Overview | Intel Software
 
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Reed-Solomon erasure coding (RS-EC) schemes are well known and have been in use for a long time. This video provides an overview of a code sample that shows how the Intel® Intelligent Storage Library (Intel ISA-L) implementation of RS-EC can keep up with current storage hardware throughput requirements in software rather than offloading to dedicated hardware. To demonstrate, the example creates up to 24 different buffers in memory to store data; a larger data set of up to 256 MB of data is distributed across these buffers. To simulate failure, up to two memory buffers are made inaccessible and the program demonstrates that on Intel® architecture the data can be completely and correctly recovered from the remaining buffers. The example shows one way to incorporate the Intel ISA-L RS-EC feature into your storage applications, and shows how to prepare and recover data. Intel® Intelligent Storage Acceleration Library (Intel® ISA-L): http://intel.ly/2wngTMB Code sample - Intel® ISA-L Erasure Code and Recovery: http://intel.ly/2wmPQRx Intel® ISA-L on Github: https://github.com/01org/isa-l?utm_source=ISTV&utm_medium=Video&utm_campaign=ISTV_2017 and: https://github.com/01org/isa-l_crypto?utm_source=ISTV&utm_medium=Video&utm_campaign=ISTV_2017 Intel® ISA-L on 01.org: http://bit.ly/2wmNzpC SUBSCRIBE NOW: http://bit.ly/2iZTCsz About Intel Software: The Intel® Developer Zone encourages and supports software developers that are developing applications for Intel hardware and software products. The Intel Software YouTube channel is a place to learn tips and tricks, get the latest news, watch product demos from both Intel, and our many partners across multiple fields. You'll find videos covering the topics listed below, and to learn more you can follow the links provided! Connect with Intel Software: Visit INTEL SOFTWARE WEBSITE: https://software.intel.com/en-us Like INTEL SOFTWARE on FACEBOOK: http://bit.ly/2z8MPFF Follow INTEL SOFTWARE on TWITTER: http://bit.ly/2zahGSn INTEL SOFTWARE GITHUB: http://bit.ly/2zaih6z INTEL DEVELOPER ZONE LINKEDIN: http://bit.ly/2z979qs INTEL DEVELOPER ZONE INSTAGRAM: http://bit.ly/2z9Xsby INTEL GAME DEV TWITCH: http://bit.ly/2BkNshu Intel® ISA-L Erasure Coding Sample Application Overview | Intel Software https://www.youtube.com/intelsoftware #IntelSoftware
Views: 421 Intel Software
How to Decode a QR Code by Hand
 
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Wikipedia: http://en.wikipedia.org/wiki/QR_code DataMatrix: https://www.youtube.com/watch?v=w0xVd2xXySo
Views: 274742 robomatics
JPEG and Reed-Solomon
 
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ELE 201 Information Signals 2015
Views: 1079 Paul Cuff
Mod-09 Lec-29 LDPC Codes
 
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Error Correcting Codes by Dr. P. Vijay Kumar, Department of Electrical Communication Engineering, IISC Bangalore. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 16873 nptelhrd
Mod-01 Lec-12 BCH Codes
 
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Coding Theory by Dr. Andrew Thangaraj, Department of Electronics & Communication Engineering, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 32370 nptelhrd
Mod-01 Lec-35 BCJR and Max-Log-MAP Decoder, Introduction to Turbo Codes
 
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Coding Theory by Dr. Andrew Thangaraj, Department of Electronics & Communication Engineering, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 10386 nptelhrd
Intel® ISA-L Erasure Coding | Intel Software
 
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As applications have scaled to the datacenter, so have demands on the storage infrastructure that support them. Storage availability and fault tolerance have become a crucial challenge. To ensure storage systems meet datacenter availability requirements, two techniques are pervasive: multi-replication (typically triple-replication) and Reed-Solomon erasure codes (RS EC), both of which ensure there are always copies of the data available despite single or dual failures. Triple replication has the advantage of simplicity, but requires that a system’s raw storage capacity is (at least) 3X the design capacity. By contrast, RS EC has historically been computationally intensive, but is far more flexible and space efficient, enabling raw capacity to be only 1.5X the design capacity. For storage applications requiring large data sets, this difference in the underlying availability algorithm can translate into huge differences in capital and operating expenditures. The Intel® Intelligent Storage Library (Intel ISA-L) includes support for erasure coding. This video describes how the use of erasure coding can benefit a storage application and explains the Intel ISA-L implementation, which uses Reed Solomon error correction (RS EC). Intel® Intelligent Storage Acceleration Library (Intel® ISA-L): http://intel.ly/2wngTMB Code sample - Intel® ISA-L Erasure Code and Recovery: http://intel.ly/2wmPQRx Intel® ISA-L on Github: https://github.com/01org/isa-l?utm_source=ISTV&utm_medium=Video&utm_campaign=ISTV_2017 and: https://github.com/01org/isa-l_crypto?utm_source=ISTV&utm_medium=Video&utm_campaign=ISTV_2017 SUBSCRIBE NOW: http://bit.ly/2iZTCsz About Intel Software: The Intel® Developer Zone encourages and supports software developers that are developing applications for Intel hardware and software products. The Intel Software YouTube channel is a place to learn tips and tricks, get the latest news, watch product demos from both Intel, and our many partners across multiple fields. You'll find videos covering the topics listed below, and to learn more you can follow the links provided! Connect with Intel Software: Visit INTEL SOFTWARE WEBSITE: https://software.intel.com/en-us Like INTEL SOFTWARE on FACEBOOK: http://bit.ly/2z8MPFF Follow INTEL SOFTWARE on TWITTER: http://bit.ly/2zahGSn INTEL SOFTWARE GITHUB: http://bit.ly/2zaih6z INTEL DEVELOPER ZONE LINKEDIN: http://bit.ly/2z979qs INTEL DEVELOPER ZONE INSTAGRAM: http://bit.ly/2z9Xsby INTEL GAME DEV TWITCH: http://bit.ly/2BkNshu Intel® ISA-L Erasure Coding | Intel Software https://www.youtube.com/intelsoftware #IntelSoftware
Views: 378 Intel Software
Concatenated Codes
 
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Video from course on Error Correcting Codes. Please let me know if you notice any math errors.
Views: 335 Blargh Lectures
Linear Codes – Introduction, Properties, Solved Example - ITC Error Coding in Hindi
 
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Linear Codes – Introduction, Properties, Solved Example - ITC Error Coding in Hindi Information Theory and Coding Lectures for B.Tech, M.Tech, MCA Students
Difference between QR Code and Bar Code | How to Works ?
 
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QR Code: ======== QR code (abbreviated from Quick Response Code) is the trademark for a type of matrix barcode (or two-dimensional barcode) first designed in 1994 for the automotive industry in Japan. A barcode is a machine-readable optical label that contains information about the item to which it is attached. A QR code uses four standardized encoding modes (numeric, alphanumeric, byte/binary, and kanji) to store data efficiently; extensions may also be used. The Quick Response (QR code) system became popular outside the automotive industry due to its fast readability and greater storage capacity compared to standard UPC barcodes. Applications include product tracking, item identification, time tracking, document management, and general marketing A QR code consists of black squares arranged in a square grid on a white background, which can be read by an imaging device such as a camera, and processed using Reed–Solomon error correction until the image can be appropriately interpreted. The required data is then extracted from patterns that are present in both horizontal and vertical components of the image Barcode: ======== A barcode (also bar code) is an optical, machine-readable, representation of data; the data usually describes something about the object that carries the barcode. Traditional barcodes systematically represent data by varying the widths and spacings of parallel lines, and may be referred to as linear or one-dimensional (1D). Later, two-dimensional (2D) variants were developed, using rectangles, dots, hexagons and other geometric patterns, called matrix codes or 2D barcodes, although they do not use bars as such. Initially, barcodes were only scanned by special optical scanners called barcode readers. Later application software became available for devices that could read images, such as smartphones with cameras. Barcode was invented by Norman Joseph Woodland and Bernard Silver and patented in US in 1952 (US Patent 2,612,994). The invention was based on Morse code that was extended to thin and thick bars. However, it took over twenty years before this invention became commercially successful. An early use of one type of barcode in an industrial context was sponsored by the Association of American Railroads in the late 1960s. Developed by General Telephone and Electronics (GTE) and called KarTrak ACI (Automatic Car Identification), this scheme involved placing colored stripes in various combinations on steel plates which were affixed to the sides of railroad rolling stock. Two plates were used per car, one on each side, with the arrangement of the colored stripes encoding information such as ownership, type of equipment, and identification number.[1] The plates were read by a trackside scanner, located for instance, at the entrance to a classification yard, while the car was moving past.[2] The project was abandoned after about ten years because the system proved unreliable after long-term use #barcode #qrcode #qrcode v/s barcode Image Credit by : https://en.wikipedia.org https://web.whatsapp.com/
Views: 103 Kaizen Innovation
Efficiently decoding Reed-Muller codes from random errors by Ramprasad Saptarishi
 
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Algorithms and Optimization https://www.icts.res.in/discussion-meeting/wao2018 DATES: 02 January 2018 to 03 January 2018 VENUE : Ramanujan Lecture Hall, ICTS Bangalore DESCRIPTION: The goal of this discussion meeting is to bring together leading young researchers in the areas of algorithms and optimization to discuss and disseminate the recent directions and advances in these areas. The topics include learning algorithms, convex optimization, nonconvex optimization, combinatorial optimization, spectral algorithms, semidefinite programming-based algorithms, parallel algorithms, counting algorithms, and their applications. ORGANIZERS: Prateek Jain and Nisheeth K. Vishnoi
L-85 Error Detection and Error correction in Hamming Code in Digital Communication by Engineering Fu
 
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In this video, i have explained Error Detection and Error correction in Hamming Code in Hamming Code by following outlines: 0. Hamming Code 1. Basics of Hamming Code 2. Error Detection in Hamming Code 3. Error correction in Hamming Code 4. Example of Hamming Code For free materials of different engineering subjects use my android application named Engineering Funda with following link: https://play.google.com/store/apps/details?id=com.viaviapp.ENG_Funda Above Android application of Engineering Funda provides following services: 1. Free Materials (GATE exam, Class Notes, Interview questions) 2. Technical Forum 3. Technical discussion 4. Inquiry For more details and inquiry on above topic visit website of Engineering Funda with given link: http://www.engineeringfunda.co.in Engineering Funda channel is all about Engineering and Technology. Here this video is a part of Digital communication. #Engineering Funda, #Communication Engineering, #Digital Communication, #Information Theory, #Error Coding, #Examples, #Block Codes, #Hamming Code, #Basics of Hamming Code, #Error correction in Hamming Code, #Error Detection in Hamming Code, #Example of Hamming Code
Views: 3919 Engineering Funda
Reed-Muller codes for random erasures and errors - Amir Shpilka
 
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Computer Science/Discrete Mathematics Seminar II Topic: Reed-Muller codes for random erasures and errors Speaker: Amir Shpilka Affiliation: Tel Aviv University Date: Tuesday, April 26 Reed-Muller codes encode an mm-variate polynomial of degree rr by evaluating it on all points in 0,1 m 0,1 m. Its distance is 2m−r2m−r and so it cannot correct more than that many errors/erasures in the worst case. For random errors one may hope for a better result. In his seminal paper Shannon exactly determined the amount of errors and erasures one can hope to correct for codes of a given rate. Codes that achieve Shannon's bound are called capacity achieving codes. In this talk we will show that Reed-Muller codes of low rate achieve capacity for both erasures and errors. We will also show that for high rate RM codes achieve capacity for erasures. In addition, we will describe a novel efficient algorithm for decoding random errors in Reed-Muller codes far beyond the minimal distance. In particular, for codes of degree at most m‾‾√m the algorithm can decode from fraction of 1/2−o1 1/2−o 1 random errors, with high probability. Based on joint works with Emmanuel Abbe and Avi Wigderson and with Ramprasad Saptharishi and Ben lee Volk. Printer-friendly version For more videos, visit http://video.ias.edu
100G Ethernet, 16nm UltraScale+ solution enhanced with an integrated RS-FEC module
 
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This video highlights the Xilinx integrated 100G Ethernet solution for 16nm UltraScale+ FPGAs and MPSoCs, enhanced with a Reed-Solomon Forward Error Correction module (RS-FEC) module based on IEEE the 802.3bj specification, enabling the use of low cost optics and direct attach copper interconnect.
Views: 1095 XilinxInc
Extension of GF(2) to GF(4)
 
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Addition and multiplication table of gf(2), gf(3), gf(5), gf(7). link to my channel- https://www.youtube.com/user/lalitkvashishtha link to data structure and algorithm playlist - https://www.youtube.com/watch?v=GbOW74e4xZE&list=PLLvKknWU7N4y_eGpQdg1Y-hORO7cxtoLU link to information theory and coding techniques playlist - https://www.youtube.com/watch?v=2qJ_mcjKYtk&list=PLLvKknWU7N4yDkIlN4YE-sXfFD4trDf6W link to compiler design playlist - https://www.youtube.com/watch?v=uAVkjTbB7Yc&list=PLLvKknWU7N4zpJWLqk7DXK26JwTB-gFmZ
Views: 7146 Lalit Vashishtha
Lec 12 | MIT 6.451 Principles of Digital Communication II
 
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Reed-Solomon Codes View the complete course: http://ocw.mit.edu/6-451S05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 7086 MIT OpenCourseWare
METHOD FOR GENERATING CYCLIC CODES
 
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A method to generate Cyclic codes is revealed in this video with the help of which cyclic codes are generated. A polynomial is given whose degree is given, 3, for which the polynomial is taken as x^3-1 for example in this video, all we have to do is we have to find out all the possible remainders when the polynomial of the given range is divided by the given polynomial f(x). The next step of the procedure of generating cyclic codes is to multiply the polynomials formed for the different possibilities of remainders by given polynomial f(x) and obtain different expressions and in the end digital cyclic code is formed with the help of these expressions or polynomials. link to my channel- https://www.youtube.com/user/lalitkvashishtha link to data structure and algorithm playlist - https://www.youtube.com/watch?v=GbOW74e4xZE&list=PLLvKknWU7N4y_eGpQdg1Y-hORO7cxtoLU link to information theory and coding techniques playlist - https://www.youtube.com/watch?v=2qJ_mcjKYtk&list=PLLvKknWU7N4yDkIlN4YE-sXfFD4trDf6W link to compiler design playlist - https://www.youtube.com/watch?v=uAVkjTbB7Yc&list=PLLvKknWU7N4zpJWLqk7DXK26JwTB-gFmZ
Views: 2812 Lalit Vashishtha
Lec 11 | MIT 6.451 Principles of Digital Communication II
 
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Reed-Solomon Codes View the complete course: http://ocw.mit.edu/6-451S05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 5474 MIT OpenCourseWare
What is QR Code? | Generate QR Code for Visiting Card, Phones, WiFi, URL, SMS, Email
 
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What is QR Code? | Generate QR Code for Visiting Card, Phones, WiFi, URL, SMS, Email http://genrontech.com/ QR code (abbreviated from Quick Response Code) is the trademark for a type of matrix barcode (or two-dimensional barcode) first designed for the automotive industry in Japan. A barcode is a machine-readable optical label that contains information about the item to which it is attached. A QR code uses four standardized encoding modes (numeric, alphanumeric, byte/binary, and kanji) to efficiently store data; extensions may also be used. The QR code system became popular outside the automotive industry due to its fast readability and greater storage capacity compared to standard UPC barcodes. Applications include product tracking, item identification, time tracking, document management, and general marketing. A QR code consists of black squares arranged in a square grid on a white background, which can be read by an imaging device such as a camera, and processed using Reed–Solomon error correction until the image can be appropriately interpreted. The required data is then extracted from patterns that are present in both horizontal and vertical components of the image #My Youtube Gear# 1. Canon 80D Body : http://amzn.to/2F768zC 2. 18 - 55 STM Lens : http://amzn.to/2F75Vwk 3. Boya BY M1 Lavalier Microphone : http://amzn.to/2DyazCS 4. Yunteng VCT 880 Tripod : http://amzn.to/2DD7g1G 5. Asus ROG Laptop : http://amzn.to/2wAeBuO 6. Logitech USB Headset H330 : http://amzn.to/2FaNuqh 7. Logitech B100 Mouse : http://amzn.to/2nbtT1M 8. Storage External HDD : http://amzn.to/2FaOOcJ [email protected]@@@@@@@ Genron Technologies @@@@@@@@!! --------------------------------------------------------------- Do Share, Support, Subscribe & Comment for Improvement on Our Channel. Subscribe Now: https://goo.gl/gqI7d4 Blog: http://genrontech.com Facebook Page: https://www.facebook.com/genrontech Facebook Myself: https://www.facebook.com/sunielmalviya Instagram Myself: http://instagram.com/sunielmalviya LinkedIn Myself: https://in.linkedin.com/in/sunielmalviya Twitter: https://twitter.com/GenronTech Google Plus: https://plus.google.com/+Genrontechdotcom Pinterest: https://in.pinterest.com/genrontech/ Suniel Malviya Official Youtube Channel: https://goo.gl/Mbd5CH --------------------------------------------------------------- A one-stop channel for all the latest Updates & Information about Tech. Anything and Everything from the world of Technology is right here at Genron Tech. --------------------------------------------------------------- Get In Touch With Us: Mumbai, Maharashtra, Email: [email protected] Send Message: https://goo.gl/KL21YM --------------------------------------------------------------- Thanks For your Lovable Support Regards, Suniel Malviya, Genron Tech
Views: 1533 Genron Tech
Locally Recoverable Code Constructions and Some Extensions
 
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Itzhak Tamo, Tel Aviv University Coding: From Practice to Theory http://simons.berkeley.edu/talks/itzhak-tamo-2015-02-12
Views: 1283 Simons Institute
Shannon 100 - 28/10/2016 - Ruediger URBANK
 
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Happy Numbers: 68 Years of Coding, 6² + 8² = 100 Years of Shannon, 1² + 0² + 0² = 1 Goal Ruediger Urbank (EPFL) This year, we celebrate Shannon’s 100th birthday and it has been 68 years since he laid the foundations of communications. To realize his number 1 goal or error free communication we use error correcting codes. Every time we make a call, connect to WiFi, download a movie, or store a file, they help us get things right. The journey began with codes based on algebraic structures such as Reed-Muller and Reed- Solomon codes. Then lattices helped convey continuous-valued signals. Slowly, deterministic codes made way for random sparse graphs codes with low-complexity message-passing decoding, such as Turbo codes and LDPC codes. The new millennium brought us Polar codes that use the chain rule of mutual information to achieve capacity and spatially-coupled codes that exploit the physical mechanism that makes crystals grow to simultaneously achieve the capacity of a large family of communication channels. Recently, the story has come full circle, and the symmetry inherent in algebraic constructions has brought the focus back on Reed-Muller codes. I will describe how ideas from such diverse areas as abstract algebra, number theory, probability, information theory, and physics slowly made it from the blackboard into products, and outline the main challenges that we face today. Ruediger Urbanke (Phd, WashU, St. Louis, 1995) has been obsessed with questions in coding theory for the past 20 years. Fortunately his progress has been slow so that there are many problems left for him for the next 20 years. He likes sabbaticals and owns more bicycles than can be rationally justified. Before joining EPFL in 1999, he enjoyed working at Bell Labs (Murray Hill) at the Mathematics of Communications Group.
How To Create QR Code Free Step By Step Easy Urdu And Hindi | Anwar Academy
 
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How To Create QR Code Free Step By Step Easy Urdu And Hindi | Anwar Academy Create QR code (abbreviated from Quick Response Code) is the trademark for a type of matrix barcode (or two-dimensional barcode) first designed for the automotive industry in Japan. A barcode is a machine-readable optical label that contains information about the item to which it is attached. A QR code uses four standardized encoding modes (numeric, alphanumeric, byte/binary, and kanji) to efficiently store data; extensions may also be used.[1] Create The QR code system became popular outside the automotive industry due to its fast readability and greater storage capacity compared to standard UPC barcodes. Applications include product tracking, item identification, time tracking, document management, and general marketing. A QR code consists of black squares arranged in a square grid on a white background, which can be read by an imaging device such as a camera, and processed using Reed–Solomon error correction until the image can be appropriately interpreted. The required data is then extracted from patterns that are present in both horizontal and vertical components of the image. Kindly Subscribe To My Channel my facebook page: https://www.facebook.com/anwaracademy My Instagram https://www.instagram.com/anwarulhassanofficial You Can Download Software From Here https://goo.gl/FPnFAW anwar academy anwaracademy
Views: 51 Anwar Academy
A Modulo Sum and Product Algebra
 
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A look at the Modulo Sum and Product Algebras in the Binary and Ternary case. The Reed Muller Expansion of the Function is used and a method is presented to determine the Reed Muller coefficients of the Expansion. A proof of the method used is given using matrix algebra. A brief look at the Quinary and Quaternary systems is also presented.
Views: 409 Timothy Hopper
Embedded radio modem, MU-2-R 434 MHz
 
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The MU-2-R 434 MHz is a radio modem designed for embedding in user systems. By using dedicated commands, the user can set module parameters and perform data communication without needing to be aware of radio protocol and control. For robust communication, the module incorporates forward error correction in the form of Reed Solomon Code. Module complies with European RED Directive (EN 300 220) and carries the CE mark. Frequency version 429 MHz available for use in Japan. For more details, see http://www.cdt21.com/products/modem/mu2/
Drawing QR Code by 2MD
 
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QR code (abbreviated from Quick Response Code) is the trademark for a type of matrix barcode (or two-dimensional barcode) first designed in 1994 for the automotive industry in Japan. A barcode is a machine-readable optical label that contains information about the item to which it is attached. A QR code uses four standardized encoding modes (numeric, alphanumeric, byte/binary, and kanji) to store data efficiently; extensions may also be used. The Quick Response (QR code) system became popular outside the automotive industry due to its fast readability and greater storage capacity compared to standard UPC barcodes. Applications include product tracking, item identification, time tracking, document management, and general marketing. A QR code consists of black squares arranged in a square grid on a white background, which can be read by an imaging device such as a camera, and processed using Reed–Solomon error correction until the image can be appropriately interpreted. The required data is then extracted from patterns that are present in both horizontal and vertical components of the image.
Views: 273 2MD-SUPREME
Code101x: Introduction To Repetition
 
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Code101x Think. Create. Code. How Can Repetition Help Us? Week 3: Repetition: Creating And Recognising Patterns
Galois Field Part 1
 
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Learn and understand GF and various operations on elements using polynomial representation
Views: 15036 DrVikasThada
satcom resellers cdm 625L 10mbps cnc satellite modem
 
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CDM-625L IP 10 mbps cnc Advanced Satellite Modem DoubleTalk Carrier-in-Carrier bandwidth compression Carrier-in-Carrier Automatic Power Control Adaptive Coding and Modulation (ACM) Packet Processor with header compression, payload compression, advanced Quality of Service (QoS) and Managed Switch Mode, 4-port managed Ethernet switch with VLAN and QoS, Jumbo frame support Dual Band Capability: 70/140 MHz and L-Band in same unit, extended L-Band receive, Data Rate: 18 kbps to 25 Mbps Symbol Rate: 18 ksps to 12.5 Msps Modulation: BPSK, QPSK/OQPSK, 8PSK/8-QAM, 16-QAM FEC: Viterbi, Sequential, Concatenated Reed Solomon, TCM, Turbo Product Code (TPC) (IESS-315 Compliant), LDPC Code and VersaFEC (low-latency LDPC) • Widest Range of data interfaces: EIA-422/530, V.35, G.703 T1, G.703 E1, G.703 T2, G.703 E2, Quad G.703 E1, ASI, LVDS, HSSI, 4-port 10/100Base-T Ethernet • IEEE 1588v2 Precision Time Protocol
Views: 74 Satcom Resellers
Audio Research CD1
 
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Продаю американский винтажный CD-проигрыватель Audio Research CD1. Модель 1995 года. Отличное состояние. Без пульта д/у. Технические характеристики: OUTPUTS, ANALOG: (Stereo) 1. Balanced XLR 4.2V RMS (±12.5dBv) max. 2. Unbalanced RCA 2.1V RMS (±6dBv) max. OUTPUT IMPEDANCE: (Analog) 350 ohms balanced, 175 ohms unbalanced FREQUENCY RESPONSE: 0.1-20,000Hz±0.2dB SIGNAL TO NOISE RATIO: 95dBA DISTORTION: -80dB (0.01%) 1kHz CHANNEL SEPARATION: 94dB 1kHz PHASE LINEARITY: ±0.5° 20-20,000kHz OUTPUTS, DIGITAL: (to external Digital-to-Analog Converter) 1. XLR Balanced AES/EBU 110-ohm 4V P-P 2. BNC coax SPDIF 75-ohm 0.7V P-P 3. TOSLINK fiber optical -19dBm, 660nm. 4. ST-type glass fiber optical -12dBm, 875nm, 62.5/125μm fibers. SIGNAL FORMAT (disc): Sampling frequency: 44.1kHz Quantization Bit: 16bit linear per channel Channel bit rate: 4.3218Mb/sec. Channel modulation code: EFM (8-14 modulation). Error correction: CIRC (cross interleave Reed Solomon Code). DRIVE MECHANISM: Wow & Flutter: Unmeasurable (Quartz stability). Discs: Accept 5" (12cm) and 3" (8cm) sizes. OPTICAL PICKUP: Type: 3-beam LDGU with holographic diffraction light pen Laser: GaAIAs semiconductor, 780nm, 0.5mW max output Servo: Digitally-controlled low-inertia linear positioning actuator. DIGITAL MICROPROCESSOR: 1. Servo/Control microprocessor 2. Signal data microprocessor DIMENSIONS: 19" (48cm) W x 5 1/4" (13.4cm) H x 11 3/4" (29.8cm) D. Handles extand 1 1/2" (3.8cm) forward on the front panel. Rear connectors extand 3/4" (1.9cm). WEIGHT: 17 lbs (7.7kg) Net
Views: 70 Aleksei Ulianov
Quadratic Goldreich-Levin Theorems - Madhur Tulsiani
 
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Madhur Tulsiani Member, School of Mathematics April 26, 2011 Decompositions in theorems in classical Fourier analysis which decompose a function into large Fourier coefficients and a part that is pseudorandom with respect to (has small correlation with) linear functions. The Goldreich-Levin theorem [GL89] can be viewed as an algorithmic version of such a decomposition as it gives an efficient algorithm for computing it. In the study of ``quadratic Fourier analysis'', higher degree analogues of such decompositions have been developed, which allow decompositions into parts with stronger properties. We develop a polynomial time algorithm for computing a decomposition of a function into quadratic phase function and a part which is small in Gowers U3U3 norm. A key part of the algorithm is a local self-correction procedure for Reed-Muller codes of order 2 (over \Fn2\F2n) for a function at distance 1/2−ϵ1/2−ϵ from a codeword. This is an algorithmic version of a result of Samorodnitsky, who gave a tester for this problem. To our knowledge, this is the first instance of a correction procedure for any class of codes, beyond the list-decoding radius. I will describe a new constructive proof of the decomposition theorem of Gowers and Wolf [GT09], which gives a decomposition of an arbitrary bounded function, into few quadratic phases, a part that is small in Gowers U3U3 norm and another error term which is small ℓ1ℓ1 norm. I will then describe some components of the above correction procedure, which can be plugged into the proof of the decomposition theorem to obtain a quadratic Goldreich-Levin theorem. Joint work with Julia Wolf. For more videos, visit http://video.ias.edu
qr code | how to generate qr code? |  barcode
 
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How To Generate QR Code ?" In This Video we Tell About How To Generate QR Code Of Any Detail & Message . QR code ( Quick Response Code) is the trademark for a type of matrix bar-code (or two-dimensional bar-code) first designed for the automotive industry in Japan. A bar-code is a machine-readable optical label that contains information about the item to which it is attached. A QR code uses four standardized encoding modes (numeric, alphanumeric, byte/binary, and kanji) to efficiently store data; extensions may also be used. The QR code system became popular outside the automotive industry due to its fast readability and greater storage capacity compared to standard UPC bar-codes. Applications include product tracking, item identification, time tracking, document management, and general marketing. A QR code consists of black squares arranged in a square grid on a white background, which can be read by an imaging device such as a camera, and processed using Reed–Solomon error correction until the image can be appropriately interpreted. The required data are then extracted from patterns that are present in both horizontal and vertical components of the image. History :- The QR code system was invented in 1994 by Denso Wave. | how to generate qr code | how to generate qr code on android device | qr code | qr generator.
Views: 84 Modern Engineers

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