High-Performance Architectures For Adaptive Filtering Based On The Gram-Schmidt Algorithm

Kyle A. Gallivan; Charles E. Leiserson

doi:10.1117/12.944006

28 November 1984 High-Performance Architectures For Adaptive Filtering Based On The Gram-Schmidt Algorithm

Kyle A. Gallivan, Charles E. Leiserson

Proceedings Volume 0495, Real-Time Signal Processing VII; (1984) https://doi.org/10.1117/12.944006
Event: 28th Annual Technical Symposium, 1984, San Diego, United States

Abstract

The difficulties in designing systolic processors can be reduced by applying the architectural transformations of code motion, retiming, slowdown, coalescing, parallel/serial compromises and partitioning to a more easily designed combinational or semisystolic form of the processor. In this paper, the use of these transformations and the attendant tradeoffs in the design of architectures for adaptive filtering based on the Gram-Schmidt algorithm are considered. A modification to the classical Gram-Schmidt algorithm which eliminates the use of division under certain assumptions is suggested. Also, size and speed statistics are given for a projected .5 micron VHSIC implementation of the processor.

Citation Download Citation

Kyle A. Gallivan and Charles E. Leiserson "High-Performance Architectures For Adaptive Filtering Based On The Gram-Schmidt Algorithm", Proc. SPIE 0495, Real-Time Signal Processing VII, (28 November 1984); https://doi.org/10.1117/12.944006

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