Sampling Theorem and Orthonormal PAM/QAM – Capacity of AWGN Channels-Performance of Small Signal Constellations – Hard-decision and Soft-decision Decoding – Introduction to Binary Block Codes – Introduction to Finite Fields – Reed-Solomon Codes – Introduction to Convolutional Codes – Trellis Representations of Binary Linear Block Codes – Codes on Graphs -The Sum – Product Algorithm – Turbo, LDPC, and RA Codes – Lattice and Trellis Codes – Linear Gaussian Channels

### Course Curriculum

 Sampling Theorem and Orthonormal PAM/QAM – Capacity of AWGN Channels Details 1:19:19 Performance of Small Signal Constellations Details 1:16:5 Hard-decision and Soft-decision Decoding Details 1:22:29 Hard-decision and Soft-decision Decoding II Details 1:15:35 Introduction to Binary Block Codes – I Details 1:34 Introduction to Binary Block Codes – II Details 1:21:39 Introduction to Finite Fields – I Details 1:20:44 Introduction to Finite Fields – II Details 1:24:47 Introduction to Finite Fields – III Details 1:23:11 Reed-Solomon Codes – I Details 1:23:16 Reed-Solomon Codes – II Details 1:20:37 Reed-Solomon Codes – III Details 1:32:3 Introduction to Convolutional Codes – I Details 1:21:46 Introduction to Convolutional Codes – II Details 1:22:16 Trellis Representations of Binary Linear Block Codes – I Details 1:20:57 Trellis Representations of Binary Linear Block Codes – II Details 1:22:27 Codes on Graphs – I Details 1:20:31 Codes on Graphs – II Details 1:23:7 The Sum-Product Algorithm Details 1:22:4 Turbo, LDPC, and RA Codes Details 1:18:37 Turbo, LDPC, and RA Codes II Details 1:18:1 Lattice and Trellis Codes – I Details 1:19:35 Lattice and Trellis Codes – II Details 1:7:48 Linear Gaussian Channels – I Details 1:21:13 Linear Gaussian Channels – II Details 1:24:38

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