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