Multiprocessor implementation of adaptive digital filters
Adaptive filters, employing the transversal filter structure and the least mean square (LMS) adaptation algorithm, or its variations, have found wide application in data transmission equalization, echo cancellation, predication, spectral estimation, on-line system identification, and antenna arrays. Recently, in response to requirements of fast start-up, or fast tracking of temporal variations, fast recursive least squares (FRLS) adaptation algorithms for both transversal and lattice filter structures have been proposed. These algorithms offer faster convergence than is possible with the LMS/transversal adaptive filters, at the price of a five-to-tenfold increase in the number of multiplications, divisions, and additions. The authors discuss architectures and implementations of the LMS/transversal, fast-converging FRLS filter, and lattice filter algorithms which minimize the required hardware speed. They showed how each of these algorithms can be partitioned so as to be realizable with an architecture based on multiple parallel processors. 17 references.
- Research Organization:
- American Bell, Holmdel, NJ
- OSTI ID:
- 5342694
- Journal Information:
- IEEE Trans. Commun.; (United States), Journal Name: IEEE Trans. Commun.; (United States) Vol. 6; ISSN IECMB
- Country of Publication:
- United States
- Language:
- English
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