An adaptive transversal filter VLSI

Kobayashi, Naoki; Gambe, H.; Aoki, Koichi; Koshikawa, M.; Unagami, S.; Ikezawa, Tsuyoshi

doi:10.1109/icassp.1986.1168942

Cited by 3 publications

(1 citation statement)

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“…This chip can handle filtering of digital transmission lines at hundreds of K.bits per seconds. A five chip VLSI implementation of an echo canceller system is reported in [2]. The system employs an adaptive filter of order 512 and works with input signals at 8 KHz.…”

Section: Introductionmentioning

confidence: 99%

A parallel binary structured LMS algorithm for transversal adaptive filters

Eshghi

DeGroat

1995

Journal of VLSI Signal Processing

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Abstract. The adaptation process in digital filters requires extensive calculation. This computation makes adaptation a slow and time consuming process. Simple, but versatile, parallel algorithms for adaptive filters, suitable for VLSI implementation, are in demand. In this paper a regular and modular parallel algorithm for an adaptive filter is presented. This parallel structure is based on the Gradient Vector Estimation Algorithm, which minimizes the Mean Square Error. In the parallel method, the tap weights of the adaptive filter are updated every s steps, whereas in the recursive algorithms, the tap weights are updated at each step. For s step update, bit strings of length s are used to derive the terms with which the tap weights of the adaptive filter are calculated. The algorithm presented computes the tap weights at time n + s as a function of the tap weights at time n, the inputs from time n + 1 to n + s -1, and the desired output from time n + 1 to n + s -1. The algorithm also can be mapped to a VLSI architecture that is both regular and modular and allows either expansion of the order of the filter or the degree of parallelism obtainable. A comparison between the performance of the sequential LMS algorithm, Fast Exact LMS algorithm, and the parallel binary structured LMS algorithm is presented.

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Section: Introductionmentioning

confidence: 99%