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Digital Communication ( previous communication II)

course syllabes:

  • Chapter 1: AN INTRODUCTION TO INFORMATION THEORY
    • Modeling Information Sources
    • Measure of Information,
    • Joint and Conditional Entropy,
    • Mutual Information,
    • Differential Entropy,
    • The Source Coding Theorem
    • Source Coding Algorithms
    • The Huffman Source Coding Algorithm,
    • The Lempel-Ziv Source Coding Algorithm,
    • Modeling of Communication Channels
    • Channel Capacity
    • Gaussian Channel Capacity,
  • Chapter 2: CODING FOR RELIABLE COMMUNICATIONS
    • The Promise of Coding
    • Linear Block Codes
    • Decoding and Performance of Linear Block Codes,
    • Some Important Linear Block Codes,
    • Error Detection versus Error Correction
    • Burst-Error-Correcting Codes,
    • Convolutional Codes
    • Basic Properties of Convolutional Codes,
    • Maximum Likelihood Decoding of Convolutional Codes-The Viterbi Algorithm,
    • Other Decoding Algorithms for Convolutional Codes,
    • Low-Density Parity-Check Codes
  • Chapter 3: Encryption and decryption
  • Chapter 4 DIGITAL MODULATION METHODS IN AN ADDITIVE WHITE GAUSSIAN NOISE  CHANNEL
    • Geometric Representation of Signal Waveforms
    • Binary Modulation Schemes
    • Optimum Receiver for Binary Modulated Signals in Additive White
    • Gaussian Noise
    • M-ary Digital Modulation
    • M-ary Pulse Amplitude Modulation
    • Phase-Shift Keying
    • Quadrature Amplitude-Modulated Digital Signals
    • Regenerative Repeaters
  • Chapter 5 MUL T/DIMENSIONAL DIGITAL MODULA T/ON
    • M-ary Orthogonal Signals
    • Bi-orthogonal Signals
    • Simplex Signals
    • Binary-Coded Signals
    • Frequency-Shift Keying
  • Chapter 6 -DIGITAL TRANSMISSION THROUGH BANDLIM/TED A WGN CHANNELS
    • Characterization of Band-limited Channels and Signal Distortion
    • Inter symbol interference in Signal Transmission,
    • Digital Transmission through Band-limited Band-pass Channels,
    • The Power Spectrum of Digitally Modulated Signals
    • Signal Design for Band-limited Channels,
    • Design of Band-limited Signals for Zero ISI-The Nyquist Criterion,
    • Design of Band-limited Signals with Controlled ISI-Partial-Response Signals,
    • Detection of Partial-Response Signals,
    • Symbol-by-Symbol Detection,
    • System Design in the Presence of Channel Distortion
    • Design of Transmitting and Receiving Filters for a Known Channel,
    • Channel Equalization

Main Reference:

J. G. Proakis and M. Salehi: Fundamental of Communication Systems, second edition, Pierson, 2014.

Other references:

1. J.Proakis, M. Salehi, Communication System Engineering, Prentice Hall, 2002

2. A.B. Carlson, Communication Systems :An Introduction to Signal and Noise in ElectricalCommunication, Mc Grow Hill, 2002.

3. A.S. Shanmugam, Digital and Analog Communication Systems,John Wiley& Sons,2002.

4.  J. G. Proakis and M. Salehi: Digital Communications, 5th ed., McGraw- Hill, 2008

Prerequisites: 

Principles of Communication systems (previos Communication I)

Grading Policy: 

.

Time: 

Fall 2018

تحت نظارت وف ایرانی

Digital Communication ( previous communication II) | Dr.Mohammad Sadegh Fazel

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تحت نظارت وف ایرانی