EE 685 Digital Signal Processing - Fall 2015-2016
Contents:
- Deterministic signals: definition
Basic Signals: impulse and unit step functions
Sampling: digital and analog frequency
Fourier series. Fourier transform. z-Transform
Convolution, correlation, periodic convolution.
Filters. IIR. FIR. Fourier series method for FIR
filter design. Smoothing windows.
- Random signals
Expectation. Moments.
Stationary and wide sense stationary r.v.
Ergodic r.v.
Correlation. Correlation coefficient. Uncorrelatance.
Independence.
Response of LTI systems to a stationary input.
Periodogram. Averaged periodogram.
Higher-order statistics. Bi-spectrum.
- Signal models.
Auto-regressive. Moving average.
Auto-regressive moving average.
Model order prediction.
- Forward and and Backward Prediction.
Wiener adaptive filter,
Forward prediction.
Backward pediction.
Lattice filters.
- Signal decomposition.
Orthogonal and bi-orthogonal decomposition.
Orthogonal transforms.
DCT. DST. KLT.
- Multiresolution signal decomposition.
Two-band filter banks.
- Frequency estimation
Eigen-space decomposition.
- Time-frequency distributions.
Textbooks:
- Digital Signal Processing. John G. Proakis and Dimitris G. Manolakis. 2007. Pearson Prentice Hall (Primary textbook).
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Digital Signal Processing: A Computer-Based Approach. Sanjit K. Mitra. September 13, 2010. John Wiley & Sons, Inc.
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Advanced Digital Signal Processing and Noise Reduction. Saeed V. Vaseghi. January 2009. McGraw-Hill Education
- Signals and Systems. Alan V. Oppenheim. 1997. Prentice Hall.
- Digital Signal Processing. Murat Kunt. 1986. Artech House
- Discrete-Time Signal Processing, 3/E. 2010. Alan V. Oppenheim and. Ronald W. Schafer. Pearson Prentice Hall
- Mathematical Principles of Signal Processing. 2002. Pierre Bremaud. Springer-Verlag, New York
Some educational/explanatory papers and tutorials and web places
- A good course web page for digital signal processing: http://kom.aau.dk/~zt/cources/DSP/index.htm
- Julius Orion Smith III; , "Introduction to Digital Filters with Audio Applications,"URL: https://ccrma.stanford.edu/~jos/fp/
Evaluation and Grading
Students will have a midterm exams and a final exam.
The exams will be written.
Grade = 0.4 x Midterm + 0.6 x Final