Adaptive combination of two multi-sample multiband-structured subband adaptive filters

Yishu Peng; Sheng Zhang; Wei Xing Zheng

doi:10.1109/ISCAS48785.2022.9937949

Adaptive combination of two multi-sample multiband-structured subband adaptive filters

Yishu Peng, Sheng Zhang, Wei Xing Zheng

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

1 Citation (Scopus)

Abstract

To address the conflict caused by the fixed sampled period in the multi-sampled multiband-structured subband adaptive filter (MS-MSAF), the adaptive convex combination of two MS-MSAFs is proposed in this paper, in which the individual filters independently run with different sampled periods. Moreover, the mean behavior of the convex-combined two MS-MSAF algorithm is also studied. In addition, the convex-combined two MS-MSAF algorithm with periodic feedback is also developed to further enhance the convergence performance. Finally, the validity of the proposed adaptive filtering algorithms together with their theoretical analyses is supported by computer simulations.

Original language	English
Title of host publication	Proceedings of the 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 27 May - 1 June 2022, Austin, Texas, USA
Publisher	IEEE
Pages	2599-2603
Number of pages	5
ISBN (Print)	9781665484862
DOIs	https://doi.org/10.1109/ISCAS48785.2022.9937949
Publication status	Published - 2022
Event	IEEE International Symposium on Circuits and Systems - Duration: 1 Jan 2022 → …

Conference

Conference	IEEE International Symposium on Circuits and Systems
Period	1/01/22 → …

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10.1109/ISCAS48785.2022.9937949

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@inproceedings{378a7d0d435e4c1098088f11e91be21b,

title = "Adaptive combination of two multi-sample multiband-structured subband adaptive filters",

abstract = "To address the conflict caused by the fixed sampled period in the multi-sampled multiband-structured subband adaptive filter (MS-MSAF), the adaptive convex combination of two MS-MSAFs is proposed in this paper, in which the individual filters independently run with different sampled periods. Moreover, the mean behavior of the convex-combined two MS-MSAF algorithm is also studied. In addition, the convex-combined two MS-MSAF algorithm with periodic feedback is also developed to further enhance the convergence performance. Finally, the validity of the proposed adaptive filtering algorithms together with their theoretical analyses is supported by computer simulations.",

author = "Yishu Peng and Sheng Zhang and Zheng, {Wei Xing}",

year = "2022",

doi = "10.1109/ISCAS48785.2022.9937949",

language = "English",

isbn = "9781665484862",

pages = "2599--2603",

booktitle = "Proceedings of the 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 27 May - 1 June 2022, Austin, Texas, USA",

publisher = "IEEE",

note = "IEEE International Symposium on Circuits and Systems ; Conference date: 01-01-2022",

}

Peng, Y, Zhang, S & Zheng, WX 2022, Adaptive combination of two multi-sample multiband-structured subband adaptive filters. in Proceedings of the 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 27 May - 1 June 2022, Austin, Texas, USA. IEEE, pp. 2599-2603, IEEE International Symposium on Circuits and Systems, 1/01/22. https://doi.org/10.1109/ISCAS48785.2022.9937949

Adaptive combination of two multi-sample multiband-structured subband adaptive filters. / Peng, Yishu; Zhang, Sheng; Zheng, Wei Xing.
Proceedings of the 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 27 May - 1 June 2022, Austin, Texas, USA. IEEE, 2022. p. 2599-2603.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Adaptive combination of two multi-sample multiband-structured subband adaptive filters

AU - Peng, Yishu

AU - Zhang, Sheng

AU - Zheng, Wei Xing

PY - 2022

Y1 - 2022

N2 - To address the conflict caused by the fixed sampled period in the multi-sampled multiband-structured subband adaptive filter (MS-MSAF), the adaptive convex combination of two MS-MSAFs is proposed in this paper, in which the individual filters independently run with different sampled periods. Moreover, the mean behavior of the convex-combined two MS-MSAF algorithm is also studied. In addition, the convex-combined two MS-MSAF algorithm with periodic feedback is also developed to further enhance the convergence performance. Finally, the validity of the proposed adaptive filtering algorithms together with their theoretical analyses is supported by computer simulations.

AB - To address the conflict caused by the fixed sampled period in the multi-sampled multiband-structured subband adaptive filter (MS-MSAF), the adaptive convex combination of two MS-MSAFs is proposed in this paper, in which the individual filters independently run with different sampled periods. Moreover, the mean behavior of the convex-combined two MS-MSAF algorithm is also studied. In addition, the convex-combined two MS-MSAF algorithm with periodic feedback is also developed to further enhance the convergence performance. Finally, the validity of the proposed adaptive filtering algorithms together with their theoretical analyses is supported by computer simulations.

UR - https://hdl.handle.net/1959.7/uws:78137

U2 - 10.1109/ISCAS48785.2022.9937949

DO - 10.1109/ISCAS48785.2022.9937949

M3 - Conference Paper

SN - 9781665484862

SP - 2599

EP - 2603

BT - Proceedings of the 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 27 May - 1 June 2022, Austin, Texas, USA

PB - IEEE

T2 - IEEE International Symposium on Circuits and Systems

Y2 - 1 January 2022

ER -

Adaptive combination of two multi-sample multiband-structured subband adaptive filters

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