Thursday July 28/3:15
Computational Issues in Signal Processing
Signal processing applications give rise to many computational problems. Several of these various computational problems will be addressed in this session, including multichannel equalization, direction finding, fast recursive least squares, and total least norm problems.
Organizer: James R. Bunch
University of California, San Diego
- 3:15: Multichannel Adaptive Equalization for Simultaneous Channel Equalization and Interference Rejection.
Richard C. North, Naval Command, Control and Ocean Surveillance Center, San Diego
- 3:45: Broad-Band Bispectral Direction Finding.
Jeffrey C. Allen, Naval Command, Control and Ocean Surveillance Center, San Diego
- 4:15: A Fast RLS Adaptive Filtering Algorithm Based on the QRD Inverse Update Method. Ian K. Proudler, Defense Research Agency, Worcestershire, United Kingdom
- 4:45: Numerical Issues Comparing Several RLS Lattice Algorithms.
Richard C. LeBorne, University of Tennessee, Chattanooga; and James R. Bunch, Organizer
- 5:15: Total Least Norm Problems: Formulation and Solution.
J. Ben Rosen, University of California, San Diego, and University of Minnesota, Minneapolis, Haesun Park, University of Minnesota, Minneapolis and John Glick, University of San Diego