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Cited by 1,139

The DOI matches its Crossref record.

A computer program for designing optimum FIR linear phase digital filters

McClellan, J., Parks, T., Rabiner, L.·1973·IEEE Transactions on Audio and Electroacoustics
DOI 10.1109/tau.1973.1162525
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Abstract

This paper presents a general-purpose computer program which is capable of designing a large Class of optimum (in the minimax sense) FIR linear phase digital filters. The program has options for designing such standard filters as low-pass, high-pass, bandpass, and bandstop filters, as well as multipassband-stopband filters, differentiators, and Hilbert transformers. The program can also be used to design filters which approximate arbitrary frequency specifications which are provided by the user. The program is written in Fortran, and is carefully documented both by comments and by detailed flowcharts. The filter design algorithm is shown to be exceedingly efficient, e.g., it is capable of designing a filter with a 100-point impulse response in about 20 s.

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Metadata

Authors
McClellan, J., Parks, T., & Rabiner, L.
Venue
IEEE Transactions on Audio and Electroacoustics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
1973-12
Volume
21
Issue
6
Pages
506-526
ISSN
0018-9278 (ISSN-L)
DOI
10.1109/tau.1973.1162525
OpenAlex
W2118072362
Cited by
1,139
References
0
FWCI
12.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A computer program for designing optimum FIR linear phase digital filters. https://app.cochat.ai/papers/10.1109/tau.1973.1162525
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McClellan, J., Parks, T., & Rabiner, L. (1973). A computer program for designing optimum FIR linear phase digital filters. IEEE Transactions on Audio and Electroacoustics. https://doi.org/10.1109/tau.1973.1162525

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.