Description: Adaptive digital filter design.  Frequency and time domain
	analysis using discrete transforms including Walsh, Haar, and slant.
	Optimum filters and frequency transformations.  

Textbook: C.S. Lindquist, Adaptive & Digital Signal Processing, Steward & Sons,
	CA, 1989.

    Chapter                          Topic

      2      Frequency domain analysis:  Chirp and zoom transforms.  Other
             discrete transforms including Walsh, Haar, and slant.  Two-
             dimensional and running transforms.
	
      3      Time Domain Analysis:  Other inverse discrete transforms.
             Generalized series interpolators.

      4      Ideal filter response:  Optimum filters.  Adaptive filters
             and adaptive filter classification.  Class 1, 2, and 3
             adaptive filter design.  Adaptive filters using feedback.
             Homomorphic filters and amplitude domain filters.

      6      Frequency transformations:  Lowpass-to-highpass, bandpass,
             bandstop, and allpass analog-to-digital transformations.

      8      FFT Filter Design:  Adaptive and nonadaptive algorithms
             for generalized estimation and detection filtering,
             correlation estimation, delay estimation, image
             registration, image enhancement, communication systems,
             radar systems, and FFT filter implementation.

      9      Fast Transform Filter Design:  Adaptive and nonadaptive
             filter design using other discrete transforms.  FFT-based
             fast transform filters, fast transform vector and scalar
             filters. Kahunen-Loeve fast scalar filters.

      12     Digital Filter Realization: Canonical structures, multiple
             feedback, biquadratic, cascade, parallel, lattice, ladder,
             analog filter simulation, and wave realizations.

Project: Design, analyze, program, and test (using software) an FFT or other
	fast transform adaptive filter.  

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