1 December 1991 Numerical stability issues in fast least-squares adaptive algorithms
Author Affiliations +
Proceedings Volume 1565, Adaptive Signal Processing; (1991); doi: 10.1117/12.49760
Event: San Diego, '91, 1991, San Diego, CA, United States
The concepts of backwards consistency and minimality are shown to be the essential tools in studying error propagation in fast least-squares adaptive filters. A conceptual framework identifying the principal error propagation mechanism is developed, allowing the numerical stability of new or existing algorithms to be ascertained without the technical labor previously thought necessary. Order recursive algorithms are confirmed to have intrinsic advantages over their transversal counterparts.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Phillip A. Regalia, "Numerical stability issues in fast least-squares adaptive algorithms", Proc. SPIE 1565, Adaptive Signal Processing, (1 December 1991); doi: 10.1117/12.49760; https://doi.org/10.1117/12.49760

Signal processing

Digital filtering

Algorithm development

Numerical stability


Detection and tracking algorithms

Filtering (signal processing)

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