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Optimization of Flexible Filter Banks Based on Fast Convolution

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Optimization of Flexible Filter Banks Based on Fast Convolution. / Yli-Kaakinen, Juha; Renfors, Markku.

julkaisussa: Journal of Signal Processing Systems, Vuosikerta 85, Nro 1, 08.2016, s. 101-111.

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Yli-Kaakinen, Juha ; Renfors, Markku. / Optimization of Flexible Filter Banks Based on Fast Convolution. Julkaisussa: Journal of Signal Processing Systems. 2016 ; Vuosikerta 85, Nro 1. Sivut 101-111.

Bibtex - Lataa

@article{47b6e9353cd74d68a08a940a55e4be34,
title = "Optimization of Flexible Filter Banks Based on Fast Convolution",
abstract = "Multirate filter banks can be implemented efficiently using fast-convolution (FC) processing. The main advantage of the FC filter banks (FC-FB) compared with the conventional polyphase implementations is their increased flexibility, that is, the number of channels, their bandwidths, and the center frequencies can be independently selected. In this paper, an approach to optimize the FC-FBs is proposed. First, a subband representation of the FC-FB is derived. Then, the optimization problems are formulated with the aid of the subband model. Finally, these problems are conveniently solved with the aid of a general nonlinear optimization algorithm. Several examples are included to demonstrate the proposed overall design scheme as well as to illustrate the efficiency and the flexibility of the resulting FC-FB.",
keywords = "Digital filters, Filter banks, Multirate signal processing, Optimization, Sampling rate conversion",
author = "Juha Yli-Kaakinen and Markku Renfors",
year = "2016",
month = "8",
doi = "10.1007/s11265-015-1004-6",
language = "English",
volume = "85",
pages = "101--111",
journal = "Journal of Signal Processing Systems",
issn = "1939-8018",
publisher = "Springer Verlag",
number = "1",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Optimization of Flexible Filter Banks Based on Fast Convolution

AU - Yli-Kaakinen, Juha

AU - Renfors, Markku

PY - 2016/8

Y1 - 2016/8

N2 - Multirate filter banks can be implemented efficiently using fast-convolution (FC) processing. The main advantage of the FC filter banks (FC-FB) compared with the conventional polyphase implementations is their increased flexibility, that is, the number of channels, their bandwidths, and the center frequencies can be independently selected. In this paper, an approach to optimize the FC-FBs is proposed. First, a subband representation of the FC-FB is derived. Then, the optimization problems are formulated with the aid of the subband model. Finally, these problems are conveniently solved with the aid of a general nonlinear optimization algorithm. Several examples are included to demonstrate the proposed overall design scheme as well as to illustrate the efficiency and the flexibility of the resulting FC-FB.

AB - Multirate filter banks can be implemented efficiently using fast-convolution (FC) processing. The main advantage of the FC filter banks (FC-FB) compared with the conventional polyphase implementations is their increased flexibility, that is, the number of channels, their bandwidths, and the center frequencies can be independently selected. In this paper, an approach to optimize the FC-FBs is proposed. First, a subband representation of the FC-FB is derived. Then, the optimization problems are formulated with the aid of the subband model. Finally, these problems are conveniently solved with the aid of a general nonlinear optimization algorithm. Several examples are included to demonstrate the proposed overall design scheme as well as to illustrate the efficiency and the flexibility of the resulting FC-FB.

KW - Digital filters

KW - Filter banks

KW - Multirate signal processing

KW - Optimization

KW - Sampling rate conversion

U2 - 10.1007/s11265-015-1004-6

DO - 10.1007/s11265-015-1004-6

M3 - Article

VL - 85

SP - 101

EP - 111

JO - Journal of Signal Processing Systems

JF - Journal of Signal Processing Systems

SN - 1939-8018

IS - 1

ER -