Perfect-Reconstruction Cosine-Modulated Filter Banks via Improved Constraint Linearization

Wu -Sheng Lu; Takao Hinamoto; Tapio Saramäki

doi:10.1109/ISCAS45731.2020.9180929

Perfect-Reconstruction Cosine-Modulated Filter Banks via Improved Constraint Linearization

Wu -Sheng Lu, Takao Hinamoto, Tapio Saramäki

Computing Sciences

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

1 Citation (Scopus)

Abstract

The design of perfect-reconstruction cosine-modulated filter banks is revisited by applying new linearization techniques for the time-domain quadratic perfect reconstruction constraints. The new techniques are analyzed to explain why they can provide improved approximation accuracy hence improved performance with insignificant increase in complexity. A design example is presented for performance demonstration and comparison.

Original language	English
Title of host publication	2020 IEEE International Symposium on Circuits and Systems (ISCAS)
Number of pages	4
DOIs	https://doi.org/10.1109/ISCAS45731.2020.9180929
Publication status	Published - 1 Oct 2020
Publication type	A4 Article in conference proceedings
Event	IEEE International Symposium on Circuits and Systems - Sevilla, Spain Duration: 10 Oct 2020 → 21 Oct 2020 https://iscas2020.org/

Publication series

Name	IEEE International Symposium on Circuits and Systems proceedings
ISSN (Electronic)	2158-1525

Conference

Conference	IEEE International Symposium on Circuits and Systems
Abbreviated title	ISCAS 2020
Country/Territory	Spain
City	Sevilla
Period	10/10/20 → 21/10/20
Internet address	https://iscas2020.org/

Keywords

Approximation algorithms
Prototypes
Linear approximation
Linear programming
Time-domain analysis
Image reconstruction
Finite impulse response filters

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Publication forum level 1

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10.1109/ISCAS45731.2020.9180929

Cite this

@inproceedings{c44041dc49d045a4b2d985eef795b632,

title = "Perfect-Reconstruction Cosine-Modulated Filter Banks via Improved Constraint Linearization",

abstract = "The design of perfect-reconstruction cosine-modulated filter banks is revisited by applying new linearization techniques for the time-domain quadratic perfect reconstruction constraints. The new techniques are analyzed to explain why they can provide improved approximation accuracy hence improved performance with insignificant increase in complexity. A design example is presented for performance demonstration and comparison.",

keywords = "Approximation algorithms, Prototypes, Linear approximation, Linear programming, Time-domain analysis, Image reconstruction, Finite impulse response filters",

author = "Lu, {Wu -Sheng} and Takao Hinamoto and Tapio Saram{\"a}ki",

note = "jufoid=65438; IEEE International Symposium on Circuits and Systems, ISCAS 2020 ; Conference date: 10-10-2020 Through 21-10-2020",

year = "2020",

month = oct,

day = "1",

doi = "10.1109/ISCAS45731.2020.9180929",

language = "English",

isbn = "978-1-7281-3320-1",

series = "IEEE International Symposium on Circuits and Systems proceedings",

booktitle = "2020 IEEE International Symposium on Circuits and Systems (ISCAS)",

url = "https://iscas2020.org/",

}

Lu, W-S, Hinamoto, T & Saramäki, T 2020, Perfect-Reconstruction Cosine-Modulated Filter Banks via Improved Constraint Linearization. in 2020 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE International Symposium on Circuits and Systems proceedings, IEEE International Symposium on Circuits and Systems, Sevilla, Spain, 10/10/20. https://doi.org/10.1109/ISCAS45731.2020.9180929

Perfect-Reconstruction Cosine-Modulated Filter Banks via Improved Constraint Linearization. / Lu, Wu -Sheng; Hinamoto, Takao; Saramäki, Tapio.
2020 IEEE International Symposium on Circuits and Systems (ISCAS). 2020. (IEEE International Symposium on Circuits and Systems proceedings).

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

TY - GEN

T1 - Perfect-Reconstruction Cosine-Modulated Filter Banks via Improved Constraint Linearization

AU - Lu, Wu -Sheng

AU - Hinamoto, Takao

AU - Saramäki, Tapio

N1 - jufoid=65438

PY - 2020/10/1

Y1 - 2020/10/1

N2 - The design of perfect-reconstruction cosine-modulated filter banks is revisited by applying new linearization techniques for the time-domain quadratic perfect reconstruction constraints. The new techniques are analyzed to explain why they can provide improved approximation accuracy hence improved performance with insignificant increase in complexity. A design example is presented for performance demonstration and comparison.

AB - The design of perfect-reconstruction cosine-modulated filter banks is revisited by applying new linearization techniques for the time-domain quadratic perfect reconstruction constraints. The new techniques are analyzed to explain why they can provide improved approximation accuracy hence improved performance with insignificant increase in complexity. A design example is presented for performance demonstration and comparison.

KW - Approximation algorithms

KW - Prototypes

KW - Linear approximation

KW - Linear programming

KW - Time-domain analysis

KW - Image reconstruction

KW - Finite impulse response filters

U2 - 10.1109/ISCAS45731.2020.9180929

DO - 10.1109/ISCAS45731.2020.9180929

M3 - Conference contribution

SN - 978-1-7281-3320-1

T3 - IEEE International Symposium on Circuits and Systems proceedings

BT - 2020 IEEE International Symposium on Circuits and Systems (ISCAS)

T2 - IEEE International Symposium on Circuits and Systems

Y2 - 10 October 2020 through 21 October 2020

ER -

Perfect-Reconstruction Cosine-Modulated Filter Banks via Improved Constraint Linearization

Abstract

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Keywords

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