Information Theory and Coding Syllabus — Government College of Engine…
Full syllabus, topics and curated resources for Information Theory and Coding (Government College of Engineering and Technology, Jammu).
Measurement of information and entropy, source and channel coding, block codes, cyclic codes, and convolutional codes
- Subject code: ECT-1706
- University: Government College of Engineering and Technology, Jammu
- Course: BE (2022 onwards)
- Branch: ECE
- Semester: 7
Information Theory and Coding syllabus
Unit 1: Information Sources, Measurement of Information and Entropy Function
- Communication Process and Nature of Information
- Optimum Detection
- Entropy and Measures of Information
- Marginal Entropy
- Joint Entropy
- Conditional Entropy
Unit 2: Source Coding and Channel Coding
- Lossless Coding for Discrete-Valued Sources
- Discrete Memoryless and Discrete Stationary Sources
- Lossy Coding for Discrete-Time Sources
- Channel Models and Channel Capacity
- Noisy Channel Coding Theorem
- Huffman Codes
Unit 3: Block Codes
- Introduction to Block Codes
- Linear Block Codes
- Important Binary Linear Block Codes
- Decoding and Performance Analysis of Binary Linear Block Codes
- Non-Binary Block Codes — Reed-Solomon Codes
Unit 4: Cyclic Codes
- Introduction to Cyclic Codes
- Polynomial and Matrix Description of Cyclic Codes
- Generation and Decoding of Cyclic Codes