"Information Theory and Coding" by K. Giridhar offers an engineering-focused approach to data transmission, covering entropy for measuring information and source coding methods like Huffman coding for efficiency. The text provides a framework for analyzing channel capacity and error correction techniques, including block and convolutional codes, to ensure reliable communication. Access the material via Information Theory and Coding by Giridar | PDF - Scribd
: Introduction to Information Theory and Measures of Information : Source Coding and Shannon’s Encoding Algorithms : Fundamental Limits on Performance and Discrete Channels : Continuous Channels and Channel Capacity Theorems : Introduction to Error Control Coding (Linear Block Codes) : Binary Cyclic Codes information theory and coding by giridhar pdf