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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
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- Introduction to Linear Dynamical Systems by Stanford
- Principles of Digital Communications I by MIT
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- The Fourier Transform and its Applications by Stanford
- Data Communication by IIT Kharagpur
- Networks Signals and Systems by IIT Kharagpur
- ELEC3104 Digital Signal Processing by The University of New South Wales
- Digital Signal Processing (IITKharagpur) by IIT Kharagpur
» check out the complete list of Signals Systems lectures
Signals Systems Lecture Notes