NOC:An Introduction to Coding Theory

Lecture 1 - Introduction to Error Control Coding - I

Lecture 2 - Introduction to Error Control Coding - II

Lecture 3 - Introduction to Error Control Coding - III

Lecture 4 - Introduction to Linear Block Codes, Generator Matrix and Parity Check Matrix

Lecture 5 - Syndrome, Error Correction and Error Detection

Lecture 6 - Problem Solving Session - I

Lecture 7 - Decoding of Linear Block Codes

Lecture 8 - Distance Properties of Linear Block Codes - I

Lecture 9 - Distance Properties of Linear Block Codes - II

Lecture 10 - Problem Solving Session - II

Lecture 11 - Some Simple Linear Block Codes - I

Lecture 12 - Some Simple Linear Block Codes - II: Reed Muller Codes

Lecture 13 - Bounds on the Size of a Code

Lecture 14 - Problem Solving Session - III

Lecture 15 - Introduction to Convolutional Codes - I: Encoding

Lecture 16 - Introduction to Convolutional Codes - II: State Diagram, Trellis Diagram

Lecture 17 - Convolutional Codes: Classification, Realization

Lecture 18 - Convolutional Codes:Distance Properties

Lecture 19 - Decoding of Convolutional Codes - I: Viterbi Algorithm

Lecture 20 - Decoding of Convolutional Codes - II: BCJR Algorithm

Lecture 21 - Problem solving session - IV

Lecture 22 - Problem solving session - V

Lecture 23 - Performance Bounds for Convolutional Codes

Lecture 24 - Low Density Parity Check Codes

Lecture 25 - Decoding of Low Density Parity Check Codes - I

Lecture 26 - Decoding of Low Density Parity Check Codes - II: Belief Propagation Algorithm

Lecture 27 - Turbo Codes

Lecture 28 - Turbo Decoding

Lecture 29 - Problem Solving Sessions - VI

Lecture 30 - Distance Properties of Turbo Codes

Lecture 31 - Convergence of Turbo Codes

Lecture 32 - Automatic Repeat reQuest (ARQ) Schemes

Lecture 33 - Applications of Linear Codes