The book " Information Theory and Coding " by K. Giridhar , published by Pooja Publications in 2010, is a widely used academic text in digital communication systems. It is specifically designed to help engineering students grasp the mathematical foundations of information measurement and reliable data transmission. Book Overview
Prof. Giridhar’s approach often begins not with the math, but with the intuition: "Information is the resolution of uncertainty."
Chapter 6: Linear Block Codes
Hamming, BCH, and Reed‑Solomon codes are derived, complete with generator and parity‑check matrices. Giridhar includes a hands‑on exercise: building a (7,4) Hamming code in Python and simulating its performance over a binary symmetric channel. information theory and coding by giridhar pdf
The book is structured into units that follow the standard progression of a communication systems course: Information Theory and Coding by Giridar | PDF - Scribd
Measure of Information: Quantifying how much "surprise" a message contains. Entropy ( The book " Information Theory and Coding " by K
Key Models: Study the Markoff statistical model for dependent sequences and long independent sequences. Unit 2: Source Coding & Data Compression
: Exploration of linear block codes, matrix descriptions, and methods for error detection and correction. Technical Context The book is structured into units that follow
Chapter 11: Network Information Theory
Multi‑user scenarios—multiple‑access, broadcast, interference, and relay channels—are presented with capacity regions visualized as colorful polygons. The narrative follows a “relay race” analogy: each node passes the message, sometimes cooperating, sometimes competing.