Signal Filtering by Quadratic Semi-Infinite Programming

This paper describes a method for signal filtering based on quadratic semi-infinite programming (QSIP). The method offers a number of advantages over traditional linear discrete-time filtering, including lower stopband error and uniform signal power in the stopband. The method is particularly well suited for short-duration signals, for which conventional linear filters may have undesirable transients. However our method can also be applied to filtering long duration signals via an overlapadd approach.

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Published
2025-04-11
DOI
https://doi.org/10.1109/dcas65331.2025.11045492
Primary Topic
Control Systems and Identification
Type
article
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article

Signal Filtering by Quadratic Semi-Infinite Programming

C.E. Davila
Control Systems and Identification
article

Signal Filtering by Quadratic Semi-Infinite Programming

C.E. Davila
article en

Abstract

This paper describes a method for signal filtering based on quadratic semi-infinite programming (QSIP). The method offers a number of advantages over traditional linear discrete-time filtering, including lower stopband error and uniform signal power in the stopband. The method is particularly well suited for short-duration signals, for which conventional linear filters may have undesirable transients. However our method can also be applied to filtering long duration signals via an overlapadd approach.

Southern Methodist University (US)
Openalex Percentile: Top 83%
Control Systems and Identification
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Signal Filtering by Quadratic Semi-Infinite Programming — C.E. Davila · (2025) | TGRS Research Map | TGRS