Adaptive Frequency Sampling Filters

Robert R. Bitmead; Brian D.O. Anderson

doi:10.1109/cdc.1980.271939

Adaptive Frequency Sampling Filters

Robert R. Bitmead, Brian D.O. Anderson

Research output: Contribution to journal › Conference article › peer-review

3 Citations (Scopus)

Abstract

The authors present two new structures for adaptive filters based on the idea of frequency sampling filters and gradient based estimation algorithms. These filters have a finite impulse response (FIR) and can be thought of as attempting to approximate a desired frequency response at given points on the unit circle. The filte operate in real time with no batch processing of signals as is the case when using the discrete Fourier transform. They result in a marked reduction in dimension of the time-domain problem of fitting an Nth order FIR transversal filter to a collection of length 2 transversal filters and further to a collection of N scalar filters. The advantages of this are then discussed.

Original language	English
Pages (from-to)	939-944
Number of pages	6
Journal	Proceedings of the IEEE Conference on Decision and Control
DOIs	https://doi.org/10.1109/cdc.1980.271939
Publication status	Published - 1980
Externally published	Yes
Event	Unknown conference - Albuquerque, NM Duration: 10 Dec 1980 → 12 Dec 1980

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10.1109/cdc.1980.271939

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abstract = "The authors present two new structures for adaptive filters based on the idea of frequency sampling filters and gradient based estimation algorithms. These filters have a finite impulse response (FIR) and can be thought of as attempting to approximate a desired frequency response at given points on the unit circle. The filte operate in real time with no batch processing of signals as is the case when using the discrete Fourier transform. They result in a marked reduction in dimension of the time-domain problem of fitting an Nth order FIR transversal filter to a collection of length 2 transversal filters and further to a collection of N scalar filters. The advantages of this are then discussed.",

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year = "1980",

doi = "10.1109/cdc.1980.271939",

language = "English",

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journal = "Proceedings of the IEEE Conference on Decision and Control",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Unknown conference ; Conference date: 10-12-1980 Through 12-12-1980",

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AU - Bitmead, Robert R.

AU - Anderson, Brian D.O.

PY - 1980

Y1 - 1980

N2 - The authors present two new structures for adaptive filters based on the idea of frequency sampling filters and gradient based estimation algorithms. These filters have a finite impulse response (FIR) and can be thought of as attempting to approximate a desired frequency response at given points on the unit circle. The filte operate in real time with no batch processing of signals as is the case when using the discrete Fourier transform. They result in a marked reduction in dimension of the time-domain problem of fitting an Nth order FIR transversal filter to a collection of length 2 transversal filters and further to a collection of N scalar filters. The advantages of this are then discussed.

AB - The authors present two new structures for adaptive filters based on the idea of frequency sampling filters and gradient based estimation algorithms. These filters have a finite impulse response (FIR) and can be thought of as attempting to approximate a desired frequency response at given points on the unit circle. The filte operate in real time with no batch processing of signals as is the case when using the discrete Fourier transform. They result in a marked reduction in dimension of the time-domain problem of fitting an Nth order FIR transversal filter to a collection of length 2 transversal filters and further to a collection of N scalar filters. The advantages of this are then discussed.

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U2 - 10.1109/cdc.1980.271939

DO - 10.1109/cdc.1980.271939

M3 - Conference article

AN - SCOPUS:0019240920

SN - 0191-2216

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JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

T2 - Unknown conference

Y2 - 10 December 1980 through 12 December 1980

ER -

Adaptive Frequency Sampling Filters

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