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EE477


Title:  DIGITAL COMMUNICATION

Credits: 4

 

Catalog Description: EE 477 Digital Communication                                                            (4+0+0)4

Stochastic processes. Noise analysis in analog communication. Data transmission through AWGN channel, bandpass data transmission, equalization. Optimum  receiver design,  carrier and pulse synchronization. Error probabilities for binary/m-ary transmission. Carrier modulation : CAM, CPM, CFM, QAM and their performances. Entropy, quantization and rate distortion, information sources, channel capacity, coding.

 Prerequisites: EE 374, MATH 343.

 Coordinator: Ayşin Ertüzün, Associate Professor of Electrical Engineering

 

Goals:   The course covers basic principles of digital communication.  It begins with a review of probability theory and continues with an introduction to stochastic processes, which is a tool for statistical analysis of communication systems. The analysis and design of digital communication systems are discussed. Discrete pulse and digital carrier modulation schemes are covered.

 

Learning Objectives:

 

At the end of this course, students will be able to:

Analyze stochastic signals
Design  bulding blocks of baseband and passband digital communication systems such as pulse shaping filters, correlative coders
Analyze modulation schemes used in passband data transmission
Compute probabiliry of error for different modulation schemes
Design optimal recievers in the form of matched filter and correlative recievers


Textbook:         Simon Haykin, Communication Systems, John Wiley & Sons Inc., 2001 (4/e)              

Reference Texts:

Wozencraft, Jacobs, Principles of Communication Engineering,
M. Schwartz,  Information, Transmission, Modulation and Noise,McGraw Hill, 1990 (4/e).
Haykin, Digital Communication, John Wiley and Sons, 1989.
S. Haykin, Introduction to Analog and Digital Communications, John Wiley and Sons, 1988.
K. S. Shanmugan, Digital and Analog Communication Systems, John Wiley and Sons, 1985.
Skyler, Digital Communication,
H. Stark, F. B.Tuteur, J.B.Anderson, Modern Electrical Communication, Prentice Hall, 1988.
Schwartz, Bennette, Stein, Communication Systems and Techniques,
A. B. Carlson, Communication Systems: An Introduction to Signals and Noise in Electrical Communication, McGraw Hill, 1986 (3/e).
 

Prerequisites by Topic:

 

Probability
Analog Communications
Sampling
Quazntization
Pulse Digital Modulation Schemes


Topics:

 

1.       Random Processes  (2 Weeks)

2.       Baseband Pulse Transmission  (3 weeks)

3.       Signal Space Analysis (3 weeks)

4.       Passband Digital Transmission (4 weeks)

5.       (Time permitting) Introduction to information theory and its implications for digital communication systems

 

Course Structure: The class meets for two lectures a week, each consisting of two 50-minute sessions. 5-6 sets of homework problems are assigned per semester.  There are two in-class mid-term exam and a final exam.

Computer Resources: None.

Laboratory Resources: Concurrently with EE 479 – Communication Laboratory Course

 

Grading:

Homework sets (10%)
Two Midterms (25% each).
Final exam (40%).


Outcome Coverage:

 

(a) Apply math, science and engineering knowledge.  This course covers the principles of digital communication.  Statistical communication and state space analysis for communication systems are heavily emphasized in lectures, homework sets and exams.

(c) Design a system, component or process to meet desired needs. Designing  building blocks of baseband and passband digital communication systems such as pulse shaping filters, correlative coders, optimal receivers in the form of matched filter and correlative receivers take more than half of the course time.

 

Prepared By: Ayşın Ertüzün

 

 

Boğaziçi Üniversitesi - Elektrik ve Elektronik Mühendisliği Bölümü

34342 - Bebek / İSTANBUL

Tel: +90 212 359 64 14
Fax: +90 212 287 24 65

 

 

 

 

 

 

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