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Lizhong Zheng Professor MIT

Lizhong Zheng

Professor
MIT

Courses

  1. Principles of Digital Communication Course

    Principles of Digital Communication

    MIT / Electrical Engineering
    Robert Gallager
    Lizhong Zheng

Lectures

  1. Introduction to digital communication Lecture
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    Introduction to digital communication

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  2. Discrete source encoding Lecture
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    Discrete source encoding

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  3. Memory-less sources Lecture
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    Memory-less sources

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  4. Entropy and asymptotic equipartition property Lecture
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    Entropy and asymptotic equipartition property

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  5. Markov sources and Lempel-Ziv universal codes Lecture
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    Markov sources and Lempel-Ziv universal codes

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  6. Quantization Lecture
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    Quantization

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  7. High rate quantizers and waveform encoding Lecture
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    High rate quantizers and waveform encoding

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  8. Fourier Series Lecture
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    Fourier Series

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  9. Discrete-time fourier transforms Lecture
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    Discrete-time fourier transforms

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  10. Degrees of freedom Lecture
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    Degrees of freedom

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  11. Signal space Lecture
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    Signal space

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  12. Nyquist theory Lecture
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    Nyquist theory

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  13. Random processes Lecture
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    Random processes

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  14. Gaussian random vectors white Gaussian noise (WGN) Lecture
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    Gaussian random vectors white Gaussian noise (WGN)

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  15. Linear functionals and filtering of random processes Lecture
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    Linear functionals and filtering of random processes

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  16. Introduction to detection Lecture
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    Introduction to detection

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  17. Detection for random vectors and processes Lecture
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    Detection for random vectors and processes

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  18. Theorem of irrelevance Lecture
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    Theorem of irrelevance

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  19. Baseband detection and complex Gaussian processes Lecture
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    Baseband detection and complex Gaussian processes

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  20. Introduction of wireless communication Lecture
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    Introduction of wireless communication

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  21. Doppler spread Lecture
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    Doppler spread

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  22. Discrete-time baseband models for wireless channels Lecture
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    Discrete-time baseband models for wireless channels

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  23. Rrayleigh fading and incoherent channels Lecture
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    Rrayleigh fading and incoherent channels

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng
  24. Code division multiple access (CDMA) Lecture
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    Code division multiple access (CDMA)

    MIT / Computer Science
    Robert Gallager
    Lizhong Zheng

Related Lectures

  1. Automatically Generating Personalized Adaptive User Interfaces Lecture

    Automatically Generating Personalized Adaptive User Interfaces

    Stanford / Computer Science
    Terry Winograd
  2. Atomicity Concepts Lecture

    Atomicity Concepts

    MIT / Computer Science
    Hari Balakrishnan
  3. Hard-decision and Soft-decision Decoding, Part 2 Lecture

    Hard-decision and Soft-decision Decoding, Part 2

    MIT / Computer Science
    David Forney
  4. Op amps positive feedback Lecture

    Op amps positive feedback

    MIT / Computer Science
    Anant Agarwal