Media Storage Type : 32 GB USB Stick
NPTEL Subject Matter Expert : Prof. P. Vijay Kumar
NPTEL Co-ordinating Institute : IISc Bangalore
NPTEL Lecture Count : 42
NPTEL Course Size : 20 GB
NPTEL PDF Text Transcription : Available and Included
NPTEL Subtitle Transcription : Available and Included (SRT)
Lecture Titles:
Lecture 1 - Course Overview & Basics
Lecture 2 - Example Codes and their Parameters
Lecture 3 - Mathematical Preliminaries: Groups
Lecture 4 - Subgroups and Equivalence Relations
Lecture 5 - Cosets, Rings & Fields
Lecture 6 - Vector Spaces, Linear Independence and Basis
Lecture 7 - Linear Codes, & Linear independence
Lecture 8 - Spanning & Basis
Lecture 9 - The Dual Code
Lecture 10 - Systematic Generator Matrix
Lecture 11 - Minimum Distance of a Linear Code
Lecture 12 - Bounds on the size of a Code
Lecture 13 - Asymptotic Bounds
Lecture 14 - Standard Array Decoding
Lecture 15 - Performance Analysis of the SAD
Lecture 16 - State and Trellis
Lecture 17 - The Viterbi Decoder
Lecture 18 - Catastrophic Error Propagation
Lecture 19 - Path Enumeration
Lecture 20 - Viterbi Decoder over the AWGN Channel
Lecture 21 - Generalized Distributive Law
Lecture 22 - The MPF Problem
Lecture 23 - Further Examples of the MPF Problem
Lecture 24 - Junction Trees
Lecture 25 - Example of Junction Tree Construction
Lecture 26 - Message passing on the Junction tree
Lecture 27 - GDL Approach to Decoding Convolutional Codes
Lecture 28 - ML Code-Symbol Decoding of the Convolutional Code
Lecture 29 - LDPC Codes
Lecture 30 - LDPC Code Terminology
Lecture 31 - Gallager Decoding Algorithm A
Lecture 32 - BP Decoding of LDPC Codes
Lecture 33 - BP Decoding (Continued)
Lecture 34 - Density Evolution under BP decoding
Lecture 35 - Convergence & Concentration Theorem - LDPC Codes
Lecture 36 - A Construction for Finite Fields
Lecture 37 - Finite Fields: A Deductive Approach
Lecture 38 - Deductive Approach to Finite Fields
Lecture 39 - Subfields of a Finite field
Lecture 40 - Transform Approach to Cyclic Codes
Lecture 41 - Estimating the Parameters of a Cyclic Code
Lecture 42 - Decoding Cyclic Codes