UNIT V INTRODUCTION TO INFORMATION THEORY ERROR PROBABILITY In any mode of communication, as long as channel noise exists, the communication cannot be error-free …
IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 37, NO. 11, NOVEMBER 1989 1113 High-Rate Punctured Convolutional Codes for Viterbi and Sequential Decoding DAVID HACCOUN, SENIOR…
Communication Systems 4th Edition Simon Haykin.pdf Communication Systems Preface Contents Background and Preview 1. The Communication Process 2. Primary Communication Resources…
Communication Systems 4th Edition Simon Haykin.pdfCommunication SystemsPrefaceContentsBackground and Preview1. The Communication Process2. Primary Communication Resources3.…
1.Digital Communication (GTU) 3-1 Information Theory Chapter 3: Information TheorySection 3.5 :Ex. 3.5.3 : Consider a telegraph source having two symbols, dot and dash. The…
1. Compression Fundamentals 2. Topics today… Why Compression ? Information Theory Basics Classification of Compression Algorithms Data Compression Model Compression Performance…
INFORMATION THEORY Communication theory deals with systems for transmitting information from one point to another. Information theory was born with the discovery of the fundamental…
Experiment No. 1 Source Coding 1 (Text Coding & Compression using Huffman Coding) a. Find out relative frequencies or probabilities in a given text (Each student to use…
DISCRETE MEMORYLESS SOURCE Communication Systems by Simon Haykin Chapter 9 : Fundamental Limits in Information Theory INTRODUCTION The purpose of a communication system is…