Information Theory And Coding By Chitode Pdf Free 96: A Comprehensive Review
Information theory and coding are two important topics in the field of communication engineering. They deal with the fundamental limits and methods of transmitting and storing information efficiently and reliably. If you are looking for a book that covers these topics in depth, you may want to check out Information Theory And Coding By Chitode Pdf Free 96.
This book is written by Dr. J. S. Chitode, a professor and researcher in electronics engineering. He has published more than 50 research papers in reputed journals and conferences. He has also authored several books on communication engineering, such as Digital Communication, Communication Systems, and Wireless Communication.
Information Theory And Coding By Chitode Pdf Free 96 is a comprehensive book that covers both the theoretical and practical aspects of information theory and coding. It consists of eight chapters that cover the following topics:
Chapter 1: Information Theory and Channel Capacity. This chapter introduces the basic concepts and measures of information, such as entropy, mutual information, and information rate. It also discusses the encoding of source output, Shannon's encoding algorithm, discrete and continuous communication channels, and channel capacity theorems.
Chapter 2: Fundamental Limits on Performance. This chapter explores some properties of entropy, prefix coding, source coding theorem, Huffman coding, differential entropy, and mutual information for continuous ensembles.
Chapter 3: Error Control Coding. This chapter explains the rationale and types of error control coding, such as block codes and convolutional codes. It also describes some examples of error control coding, such as Hamming codes, cyclic codes, BCH codes, RS codes, Golay codes, burst error correcting codes, and Viterbi decoding.
Chapter 4: Discrete Memoryless Channels. This chapter analyzes the performance of discrete memoryless channels (DMCs), such as binary symmetric channel (BSC), binary erasure channel (BEC), Z-channel, etc. It also discusses some techniques for improving the performance of DMCs, such as channel coding theorem, Shannon limit, Fano's inequality, etc.
Chapter 5: Linear Block Codes. This chapter introduces the matrix description of linear block codes, such as generator matrix and parity check matrix. It also explains the error detection and error correction capabilities of linear block codes, syndrome decoding using standard array, lookup table decoding, etc.
Chapter 6: Cyclic Codes. This chapter presents the structure and properties of cyclic codes, such as polynomial representation, generator polynomial, parity check polynomial, etc. It also describes the encoding and decoding methods for cyclic codes using shift registers and syndrome calculation.
Chapter 7: Additional Cyclic Codes. This chapter discusses some additional cyclic codes that have special properties or applications, such as RS codes, Golay codes, shortened cyclic codes, burst error correcting codes, etc.
Chapter 8: Convolutional Codes. This chapter introduces the concept and representation of convolutional codes using time domain approach, transform domain approach,
code tree, code trellis, state diagram, etc. It also explains the encoding and decoding methods for convolutional codes using Viterbi algorithm.
The book is well-written and organized with clear explanations and examples. It also provides numerous exercises at the end of each chapter to test your understanding and reinforce your learning. The book is suitable for undergraduate and postgraduate students of communication engineering who want to learn more about information theory and coding.
If you are interested in reading this book, you can download it for free from this link[^1^]. The book is in PDF format and has 534 pages. You can also buy a hard copy of the book from this link[^2^]. The book costs $96 USD.
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