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Lecture Details
Lecture 1: Introduction, Sampling Theorem and Orthonormal PAM/QAM, Capacity of AWGN Channels
Lecture 2: Performance of Small Signal Constellations
Lecture 3: Hard-decision and Soft-decision Decoding
Lecture 4: Hard-decision and Soft-decision Decoding (cont..)
Lecture 5: Introduction to Binary Block Codes
Lecture 6: Introduction to Binary Block Codes (Cont..)
Lecture 7: Introduction to Finite Fields
Lecture 8: Introduction to Finite Fields (cont..)
Lecture 9: Introduction to Finite Fields (cont..)
Lecture 10: Reed-Solomon Codes
Lecture 11: Reed-Solomon Codes (cont..)
Lecture 12: Reed-Solomon Codes (cont..)
Lecture 13: Introduction to Convolutional Codes
Lecture 14: Introduction to Convolutional Codes (cont..)
Lecture 15: Introduction to Convolutional Codes (cont..)
Lecture 16: Trellis Representations of Binary Linear Block Codes
Lecture 17: Trellis Representations of Binary Linear Block Codes(cont..)
Lecture 18: Codes on Graphs
Lecture 19: Codes on Graphs (cont..)
Lecture 20: The Sum-Product Algorithm
Lecture 21: The Sum-Product Algorithm (cont..)
Lecture 22: Turbo, LDPC, and RA Codes
Lecture 23: Turbo, LDPC, and RA Codes (cont..)
Lecture 24: Lattice and Trellis Codes
Lecture 25: Lattice and Trellis Codes (cont..)
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