Course Syllabus - Spring 2016
This is the first graduate course covering the principles of digital transmission of information. ECE 535 introduces a notion of information. We rigorously define the amount of information, introduce information measures and explain how to extract a pure information from a source and how to protect information during transmission. The largest portion of the course is devoted to studying how to translate information into a digital signal to be transmitted, and how to retrieve the information back from the received signal. We study in depth various digital modulation schemes through a concept of signal space. We build analytical and simulation models for digital modulation systems in presence of noise, and define the performances of digital communication systems through a probability of reliable transmission of information. We also build optimal receiver models for digital base-band and band-pass modulation schemes.
The successful student will be able to:
- understand and compute Shannon capacity of various communications, channels.
- write a software and analyze source coding algorithms such as: Huffman, arithmetic and Ziv-Lempel coding, and channel coding schemes as convolutional codes and linear block codes.
- rigorously analyze and develop simulation models for coded digital communications systems, such as PSK, ASK, QAM etc…
- design optimal detectors in presence of AWGN.
|Instructor:||Dr. Bane Vasić|
|Office Hours:||TBA, and by appointment.|
|References:||J. G. Proakis, Digital Communications, 4th Edition, McGraw-Hill, 2000. |
S. G. Wilson, Digital Modulation and Coding, Prentice-Hall, 1995.
R. Blahut, Digital Transmission of Information, Addison-Wesley, 1990.
J. Wozencraft and I. Jacobs, Principles of Communication Engineering, Wiley, 1965 S. Haykin, Introduction to Communication Systems, 4rd ed., Wiley, 2000.
|Credits:||ECE 535 is a three-unit, A-E based graduate course.|
|TA/Grader:||Mohsen Bahrami (email@example.com)|
Administrative Details and Policies
|Prerequisites:||1. ECE 340 (Engineering Systems Analysis) (signal characterization in frequency domain, Fourier transform, discrete-time systems) |
2. ECE 529 (Digital Signal Processing)
3. ECE 503 (Random Processes for Engineering Applications)
|Attendance:||Optional, but recommended.|
|Punctuality:||Entering the classroom after the instructor is strongly discouraged!|
|Participation:||Students are encouraged to take part in general class discussions.|
|Student Questions:||The instructor will not be able to answer questions submitted by e-mail or phone, nor to accept student visits out of the office hours.|
|Projects and Homework:||There will be no homework in this class, i.e., homework if assigned will be graded as a reference to the final grade. Solved problems will be posted on the instructor’s web page. There will be couple of medium size computer projects instead.|
|Exams:||There will be two mid-term exams, one final written examination. The final exam schedule can be found here. Exams may include material/topics not contained in the text, but which are discussed in class. The final exam is mandatory.|
|Computer problems:||These will be integrated with your regular homework. Students may use any convenient math software.|
|Grading policy:||Graded work includes exams and projects. Final grades will be determined by your total number of points compared to an absolute scale. The course grade will be percentage based and I guarantee the following minimum cutoffs for grades: |
|Academic Integrity:||All submitted work must be original. The minimum penalty for plagiarism and cheating on exams and quizzes is an E grade of failing.|