Solutions were discussed in class.
Homework 2 is posted. The deadline is Wednesday Feb 9,
2011
Homework 2 Solutions
Homework 3 is posted. The deadline is Wednesday Feb
16, 2011
Homework 3 Solutions
Homework 4 is posted. The deadline is extended to
Monday Feb
28, 2011
Homework 4 Solution
Homework 5 is posted
Homework 5 Solutions
Homework 6 is posted (The problems are from the fourth
edition of Haykins's book)
Administrative Info
Instructors: Professor Ahmad Bahai, Dr. Ali
Motamedi
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Lectures: Monday Wednesdays, 10:30- 12:00 am, 299
Cory |
Office hours: Monday 01/31/2011 , 1:30pm-2:30pm ,
264M Cory Hall (Connectivity LAB) |
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Course Info
Description
With signal processing becoming ubiquitous in today's
computer literate world, a large number of application areas are growing in
importance, both in industry and in the research community, such as signal
processing for distributed sensor networks, speech, image and video processing,
medical image processing, wavelets and multiresolution signal processing,
genomic and biomedical signal processing, financial data signal processing, etc.
This course will cover some of the theoretical, algorithmic and practical
foundations needed to address this litany of problems and applications in signal
processing.
Prerequisite
EE 123, EE 126, and familiarity with linear algebra; or equivalent; or consent of instructor.
Requirements
There will be bi-weekly homework assignments (25% of course grade), a
Midterm Exam (25%), and a Final Project (50%).
Textbook
- Adaptive Filter Theory, Haykin
Course Outline
Handouts
Resources
The following books may be useful. Those
marked Reserved are on reserve at the Kresge Engineering
Library.
General DSP:
- A. V. Oppenheim and R. W. Schafer with John R. Buck, Discrete-Time Signal
Processing, Second Edition, Prentice-Hall, 1999 Reserved
- J. Proakis and D. Manolakis, Digital Signal Processing: Principles,
Algorithms, and Applications, 4th edition, Prentice-Hall, 2007 Reserved
- J.S. Lim and A. V. Oppenheim, Eds, Advanced Topics in Signal Processing,
Prentice-Hall, 1988
- S. K. Mitra, Digital Signal Processing: A Computer-Based Approach, McGraw
Hill, 1998
Multirate signal processing and wavelets:
- M. Vetterli and J. Kovacevic, Wavelets and Subband Coding, Prentice-Hall,
1995 Reserved
[ Online version ]
- G. Strand and T. Nguyen, Wavelets and Filter Banks, Wellesley, 1997
Reserved
- P. P. Vaidyanathan, Multirate Systems and Filter Banks, Prentice-Hall,
1993
- S. Mallat, A Wavelet Tour of Signal Processing, Academic Press, 1998.
Statistical signal processing:
- Monson Hayes, Stochastic Signal Processing, Prentice-Hall, 1996
- B. Porat, Digital Processing of Random Signals: Theory and Methods,
Prentice-Hall, 1994
Quantization and coding
- N. Jayant and P. Noll, Digital Coding of Waveforms, Prentice-Hall, 1984
- A. Gersho and R. M. Gray, Vector Quantization and Signal Compression,
Kluwer Academic Publishers, 1992.
Spectral analysis:
- P. Stoica and R. Moses, Introduction to Spectral Analysis, Prentice-Hall,
1997
- S. M. Kay, Modern Spectral Estimation, Theory and Applications,
Prentice-Hall, 1988
Adaptive filtering:
- S. Haykin, Adaptive Filter Theory, 4th Ed., Prentice-Hall, 2002 Reserved
- P.M. Clarkson, Optimal and Adaptive Signal Processing, CRC Press, 1993
- B. Widrow and S. D. Stearns, Adaptive Signal Processing, Prentice-Hall,
1985
Fast algorithms
- R. Blahut, Fast Algorithms for Digital Signal Processing,
Addison-Wesley, 1984
Probability
- A. Papoulis, Probability, Random Variables and Stochastic Processes,
McGraw-Hill, 1984
- A. Leon-Garcia, Probability and Random Processes for Electrical
Engineering, Addison-Wesley, 1993
Linear algebra
- Gilbert Strang, Linear Algebra and Applications, Academic Press, 1980