SEE: Guide to Download MIT Video Lecture
Course Description :
This course discuses about sampling theorem, AWGN channels, and focuses mainly on the coding techniques linear block codes, Reed-Muller codes, finite fields, Reed-Solomon and BCH codes, binary linear convolutional codes, and the Viterbi algorithm. The advanced coding techniques also included which are trellis codes; codes on graphs; the sum-product and min-sum algorithms; the BCJR algorithm; turbo codes, LDPC codes and RA codes and many more.
Other Resources :
These free video lectures are licensed under a Creative Commons License by MIT OCW
Other Signals Systems Courses
- Networks Signals and Systems by IIT Kharagpur
- Probability and Random Processes by IIT Kharagpur
- Networks and Systems by IIT Madras
- Adaptive Signal Processing by IIT Kharagpur
- Communication Engineering by IIT Delhi
- Introduction to Linear Dynamical Systems by Stanford
- The Fourier Transform and its Applications by Stanford
- MMF1928H / STA 2503F - Pricing Theory I / Applied Probability for Mathematical Finance by University of Toronto
- Electromagnetics and Applications by MIT
- Data Communication by IIT Kharagpur
» check out the complete list of Signals Systems lectures
Signals Systems Lecture Notes