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Eigenfilters: A new approach to least-squares FIR filter design and applications including Nyquist filters

Vaidyanathan, P., Truong Nguyen·1987·IEEE Transactions on Circuits and Systems

Abstract

A new method of designing linear-phase FIR filters is proposed by minimizing a quadratic measure of the error in the passband and stopband. The method is based on the computation of an eigenvector of an appropriate real, symmetric, and positive-definite matrix. The proposed design procedure is general enough to incorporate both time- and frequency-domain constraints. For example, Nyquist filters can be easily designed using this approach. The design time for the new method is comparable to that of Remez exchange techniques. The passband and stopband errors in the frequency domain can be made equiripple by an iterative process, which involves feeding back the approximation error at each iteration. Several numerical design examples and comparisons to existing methods are presented, which demonstrate the usefulness of the present approach.

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Metadata

Authors
Vaidyanathan, P., & Nguyen, T.
Venue
IEEE Transactions on Circuits and Systems
Published
1987-01
Volume
34
Issue
1
Pages
11-23
ISSN
0098-4094 (ISSN-L)
OpenAlex
W2161386327
Cited by
341
References
0
FWCI
8.87
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Eigenfilters: A new approach to least-squares FIR filter design and applications including Nyquist filters. https://app.cochat.ai/papers/10.1109/tcs.1987.1086033
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Vaidyanathan, P., & Nguyen, T. (1987). Eigenfilters: A new approach to least-squares FIR filter design and applications including Nyquist filters. IEEE Transactions on Circuits and Systems. https://doi.org/10.1109/tcs.1987.1086033

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