A highly modular normalized adaptive lattice algorithm for multichannel least squares filtering

George-Othon Glentis; Cornelis H. Slump

doi:10.1109/ICASSP.1995.480508

A highly modular normalized adaptive lattice algorithm for multichannel least squares filtering

George-Othon Glentis^*, Cornelis H. Slump

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

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Abstract

In this paper a highly modular normalized adaptive lattice algorithm for multichannel Least Squares FIR filtering and multivariable system identification, is presented. Multichannel filters with different number of delay elements per input channel are allowed. The main features of the proposed multichannel adaptive lattice least squares algorithm is the use of scalar only operations, multiplications/divisions and square roots, and the local communication which enables the development of a fully pipelinable architecture.

Original language	English
Title of host publication	ICASSP '95
Subtitle of host publication	proceedings 1995 IEEE International Conference on Acoustics, Speech, and Signal Processing, May 9-12, 1995, Detroit, Michigan
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1420-1423
Number of pages	4
Volume	2
ISBN (Print)	0-7803-2431-5
DOIs	https://doi.org/10.1109/ICASSP.1995.480508
Publication status	Published - 1995
Event	20th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1995 - Detroit, United States Duration: 8 May 1995 → 12 May 1995 Conference number: 20

Publication series

Name	Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Publisher	IEEE
Volume	1995
ISSN (Print)	0736-7791

Other

Other	20th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1995
Abbreviated title	ICASSP
Country/Territory	United States
City	Detroit
Period	8/05/95 → 12/05/95

Keywords

Filter coefficient
Multichannel least square filtering
Multivariable system identification
Normalized adaptive lattice algorithm
Response signal

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10.1109/ICASSP.1995.480508

Glentis1995highlyFinal published version, 543 KB

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Glentis, G-O., & Slump, C. H. (1995). A highly modular normalized adaptive lattice algorithm for multichannel least squares filtering. In ICASSP '95: proceedings 1995 IEEE International Conference on Acoustics, Speech, and Signal Processing, May 9-12, 1995, Detroit, Michigan (Vol. 2, pp. 1420-1423). (Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); Vol. 1995). IEEE. https://doi.org/10.1109/ICASSP.1995.480508

Glentis, George-Othon ; Slump, Cornelis H. / A highly modular normalized adaptive lattice algorithm for multichannel least squares filtering. ICASSP '95: proceedings 1995 IEEE International Conference on Acoustics, Speech, and Signal Processing, May 9-12, 1995, Detroit, Michigan. Vol. 2 Piscataway, NJ : IEEE, 1995. pp. 1420-1423 (Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)).

@inproceedings{9b9373e3adb749a58b129dfa3780b128,

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abstract = "In this paper a highly modular normalized adaptive lattice algorithm for multichannel Least Squares FIR filtering and multivariable system identification, is presented. Multichannel filters with different number of delay elements per input channel are allowed. The main features of the proposed multichannel adaptive lattice least squares algorithm is the use of scalar only operations, multiplications/divisions and square roots, and the local communication which enables the development of a fully pipelinable architecture.",

keywords = "Filter coefficient, Multichannel least square filtering, Multivariable system identification, Normalized adaptive lattice algorithm, Response signal",

author = "George-Othon Glentis and Slump, {Cornelis H.}",

year = "1995",

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volume = "2",

series = "Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",

publisher = "IEEE",

pages = "1420--1423",

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note = "20th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1995, ICASSP ; Conference date: 08-05-1995 Through 12-05-1995",

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Glentis, G-O & Slump, CH 1995, A highly modular normalized adaptive lattice algorithm for multichannel least squares filtering. in ICASSP '95: proceedings 1995 IEEE International Conference on Acoustics, Speech, and Signal Processing, May 9-12, 1995, Detroit, Michigan. vol. 2, Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol. 1995, IEEE, Piscataway, NJ, pp. 1420-1423, 20th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1995, Detroit, Michigan, United States, 8/05/95. https://doi.org/10.1109/ICASSP.1995.480508

A highly modular normalized adaptive lattice algorithm for multichannel least squares filtering. / Glentis, George-Othon; Slump, Cornelis H.
ICASSP '95: proceedings 1995 IEEE International Conference on Acoustics, Speech, and Signal Processing, May 9-12, 1995, Detroit, Michigan. Vol. 2 Piscataway, NJ: IEEE, 1995. p. 1420-1423 (Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); Vol. 1995).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Glentis, George-Othon

AU - Slump, Cornelis H.

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PY - 1995

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N2 - In this paper a highly modular normalized adaptive lattice algorithm for multichannel Least Squares FIR filtering and multivariable system identification, is presented. Multichannel filters with different number of delay elements per input channel are allowed. The main features of the proposed multichannel adaptive lattice least squares algorithm is the use of scalar only operations, multiplications/divisions and square roots, and the local communication which enables the development of a fully pipelinable architecture.

AB - In this paper a highly modular normalized adaptive lattice algorithm for multichannel Least Squares FIR filtering and multivariable system identification, is presented. Multichannel filters with different number of delay elements per input channel are allowed. The main features of the proposed multichannel adaptive lattice least squares algorithm is the use of scalar only operations, multiplications/divisions and square roots, and the local communication which enables the development of a fully pipelinable architecture.

KW - Filter coefficient

KW - Multichannel least square filtering

KW - Multivariable system identification

KW - Normalized adaptive lattice algorithm

KW - Response signal

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U2 - 10.1109/ICASSP.1995.480508

DO - 10.1109/ICASSP.1995.480508

M3 - Conference contribution

AN - SCOPUS:0028996284

SN - 0-7803-2431-5

VL - 2

T3 - Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

SP - 1420

EP - 1423

BT - ICASSP '95

PB - IEEE

CY - Piscataway, NJ

T2 - 20th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1995

Y2 - 8 May 1995 through 12 May 1995

ER -

Glentis G-O, Slump CH. A highly modular normalized adaptive lattice algorithm for multichannel least squares filtering. In ICASSP '95: proceedings 1995 IEEE International Conference on Acoustics, Speech, and Signal Processing, May 9-12, 1995, Detroit, Michigan. Vol. 2. Piscataway, NJ: IEEE. 1995. p. 1420-1423. (Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)). doi: 10.1109/ICASSP.1995.480508

A highly modular normalized adaptive lattice algorithm for multichannel least squares filtering

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