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    Video Lecture and Notes

    The course notes are written by Prof. David Forney, and are organized by chapter. In addition to downloadable lecture notes, video files of each lecture are provided below.


    Lecture 1: Introduction Sampling Theorem

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    Lecture 2: Performance of Small Signal Constellations

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    Lecture 3: Hard-decision and Soft-decision Decoding

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    Lecture 4: Hard-decision and Soft-decision Decoding

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    Lecture 5: Introduction to Binary Block Codes

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    Lecture 6: Introduction to Binary Block Codes

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    Lecture 7: Introduction to Finite Fields

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    Lecture 8: Introduction to Finite Fields

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    Lecture 9: Introduction to Finite Fields

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    Lecture 10: Reed-Solomon Codes

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    Lecture 11: Reed-Solomon Codes

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    Lecture 12: Reed-Solomon Codes

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    Lecture 13: Introduction to Convolutional Codes

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    Lecture 14: Introduction to Convolutional Codes

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    Lecture 15: Trellis Representations of Binary Linear Block Codes

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    Lecture 16: Trellis Representations of Binary Linear Block Codes

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    Lecture 17: Codes on Graphs

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    Lecture 18: Codes on Graphs

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    Lecture 19: The Sum-Product Algorithm

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    Lecture 20: Turbo, LDPC, and RA Codes

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    Lecture 21: Turbo, LDPC, and RA Codes

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    Lecture 22: Lattice and Trellis Codes

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    Lecture 23: Lattice and Trellis Codes

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    Lecture 24: Linear Gaussian Channels

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    Lecture 25: Linear Gaussian Channels

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