EEE5066-ADVANCED DIGITAL SIGNAL PROCESSING

COURSE OBJECTIVES:

This course focuses on the theory and applications of advanced signal processing techniques. Topics covered include; linear prediction, spectral estimation, adaptive filtering, multirate digital signal processing, time-frequency analysis and wavelets.

SYLLABUS:

WEEK 1--	Linear prediction
WEEK 2--	Linear prediction Cont.
WEEK 3--	Spectral estimation; Frequency resolution, Non-parametric methods, Periodogram, Barlett method, Welch method
WEEK 4--	Spectral estimation; Parametric method, AR, MA and ARMA models
WEEK 5--	Adaptive filtering; Wiener filtering
WEEK 6--	Adaptive filtering; LMS, RLS algorithms
WEEK 7--	Multirate digital signal processing; decimators and interpolators design and implementation
WEEK 8--	Midterm Exam 1
WEEK 9--	Multirate digital signal processing; Multistage sampling rate conversion
WEEK 10--	Multirate digital signal processing; Perfect reconstruction filter bank, Quadratic mirror filter bank and its design
WEEK 11--	Time-frequency analysis and wavelets; What is the time-frequency analysis?
WEEK 12--	Time-frequency analysis and wavelets; Short-time Fourier transform, Continuous wavelet transform, Discrete wavelet transform
WEEK 13--	Time-frequency analysis and wavelets; Wigner distribution, Ambiguity function
WEEK 14--	Midterm Exam 2

TEXTBOOK: J. G. Proakis, et. al. "Advanced Digital Signal Processing," Maxwell MacMillan, 1992.

SUPPLEMENTARY TEXTBOOKS:

1. Ludeman, Lonnie "Introduction to Digital Signal Processing", John Wiley and Sons, 1986.
2. A. V. Schaffer, R. W. Oppenheim, "Discrete-Time Signal Processing, Prentice Hall, 1989.
3. R. D. Strum, D. E. Kirk, "First Principles of Discrete Systems and Digital Signal Processing", Addison-Wesley, 1988.
4. A. Antoniou, "Digital Filters: Analysis and Design", 2nd ed., McGraw-Hill, 1993.
5. J. S. Lim, A. V. Oppenheim, "Advanced Topics in Signal Processing", Prentice-Hall, 1988.
6. V. K. Ingle, J. G. Proakis, "Digital Signal Processing Using MATLAB", PWS, 1997.

LECTURE NOTES: