Error Coding

Error Coding for Engineers  eBooks & eLearning

Posted by tukotikko at Feb. 11, 2014
Error Coding for Engineers

Error Coding for Engineers By A. Houghton
2001 | 246 Pages | ISBN: 1461355893 | PDF | 17 MB

Foundations of Coding: Compression, Encryption, Error Correction  eBooks & eLearning

Posted by ksveta6 at Feb. 28, 2015
Foundations of Coding: Compression, Encryption, Error Correction

Foundations of Coding: Compression, Encryption, Error Correction by Jean-Guillaume Dumas, Jean-Louis Roch, Eacute;ric Tannier, Sébastien Varrette
2015 | ISBN: 1118881443 | English | 376 pages | EPUB | 31 MB
Error-Correction Coding and Decoding: Bounds, Codes, Decoders, Analysis and Applications

Error-Correction Coding and Decoding: Bounds, Codes, Decoders, Analysis and Applications By Martin Tomlinson, Cen Jung Tjhai, Marcel A. Ambroze, Mohammed Ahmed, Mubarak Jibril
English | PDF,EPUB | 2017 | 527 Pages | ISBN : 3319511025 | 21.44 MB

This book discusses both the theory and practical applications of self-correcting data, commonly known as error-correcting codes.

Digital Video Image Quality and Perceptual Coding (Repost)  eBooks & eLearning

Posted by step778 at Feb. 14, 2017
Digital Video Image Quality and Perceptual Coding (Repost)

H.R. Wu, K.R. Rao, "Digital Video Image Quality and Perceptual Coding"
2005 | pages: 614 | ISBN: 0824727770 | PDF | 22,4 mb
A First Course in Coding Theory (Oxford Applied Mathematics and Computing Science Series)

A First Course in Coding Theory (Oxford Applied Mathematics and Computing Science Series) by Raymond Hill
English | 1990 | ISBN: 0198538030 | 264 Pages | DJVU | 1.99 MB

Information Theory and Coding - Solved Problems  eBooks & eLearning

Posted by arundhati at Feb. 6, 2017
Information Theory and Coding - Solved Problems

Predrag Ivaniš, Dušan Drajić, "Information Theory and Coding - Solved Problems"
2017 | ISBN-10: 3319493698 | 517 pages | PDF | 14 MB
"Effective Video Coding for Multimedia Applications" ed. by Sudhakar Radhakrishnan

"Effective Video Coding for Multimedia Applications" ed. by Sudhakar Radhakrishnan
Second Edition
ITexLi | 2016 | ISBN: 953307177X 9789533071770 | 266 pages | PDF | 14 MB

This book is the research outcome of various Researchers and Professors who have contributed a might in this field. This book suits researchers doing their research in the area of video coding. The understanding of fundamentals of video coding is essential for the reader before reading this book.

"Recent Advances on Video Coding" ed. by Javier Del Ser Lorente  eBooks & eLearning

Posted by exLib at Nov. 26, 2016
"Recent Advances on Video Coding" ed. by Javier Del Ser Lorente

"Recent Advances on Video Coding" ed. by Javier Del Ser Lorente
Second Edition
ITexLi | 2016 | ISBN: 9533071818 9789533071817 | 408 pages | PDF | 30 MB

This book is intended to attract the attention of practitioners and researchers from industry and academia interested in challenging paradigms of multimedia video coding, with an emphasis on recent technical developments, cross-disciplinary tools and implementations. Given its instructional purpose, the book also overviews recently published video coding standards such as H.264/AVC and SVC from a simulational standpoint.

Fundamentals of Error-Correcting Codes  eBooks & eLearning

Posted by tanas.olesya at Nov. 9, 2016
Fundamentals of Error-Correcting Codes

Fundamentals of Error-Correcting Codes by W. Cary Huffman
English | 26 Jun. 2003 | ISBN: 0521782805 | 664 Pages | PDF | 11 MB

Fundamentals of Error Correcting Codes is an in-depth introduction to coding theory from both an engineering and mathematical viewpoint.

Coursera - Coding the Matrix: Linear Algebra through Computer Science Applications  eBooks & eLearning

Posted by house23 at June 19, 2016
Coursera - Coding the Matrix: Linear Algebra through Computer Science Applications

Coursera - Coding the Matrix: Linear Algebra through Computer Science Applications
MP4 | AVC 271kbps | English | 960x540 | 30fps | 11 hours | AAC stereo 127kbps | 2.77 GB
Genre: Video Training

Learn the concepts and methods of linear algebra, and how to use them to think about computational problems arising in computer science. Coursework includes building on the concepts to write small programs and run them on real data.