Improved recursive procedures for envelope-constrained filtering

W. X. Zheng; B. Vo; A. Cantoni; K. L. Teo

Improved recursive procedures for envelope-constrained filtering

W. X. Zheng, B. Vo, A. Cantoni, K. L. Teo

School of Computer, Data & Mathematical Sciences

Western Sydney University

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper presents new recursive procedures for designing optimum envelope-constrained (EC) filters. Using a constraint transcription technique, the inequality constrained quadratic programming problem associated with EC filtering can be approximated as an unconstrained minimization problem. Two types of optimization methods are developed to solve this unconstrained problem in a recursive adjusting manner. Simulations of the proposed recursive procedures are presented which support the theoretical predictions.

Original language	English
Pages (from-to)	1376-1379
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	2
Publication status	Published - 1995
Event	Proceedings of the 1995 IEEE International Symposium on Circuits and Systems-ISCAS 95. Part 3 (of 3) - Seattle, WA, USA Duration: 30 Apr 1995 → 3 May 1995

Cite this

@article{25d1869691f84c10b4b301904637a0ca,

title = "Improved recursive procedures for envelope-constrained filtering",

abstract = "This paper presents new recursive procedures for designing optimum envelope-constrained (EC) filters. Using a constraint transcription technique, the inequality constrained quadratic programming problem associated with EC filtering can be approximated as an unconstrained minimization problem. Two types of optimization methods are developed to solve this unconstrained problem in a recursive adjusting manner. Simulations of the proposed recursive procedures are presented which support the theoretical predictions.",

author = "Zheng, {W. X.} and B. Vo and A. Cantoni and Teo, {K. L.}",

year = "1995",

language = "English",

volume = "2",

pages = "1376--1379",

journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

issn = "0271-4310",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 1995 IEEE International Symposium on Circuits and Systems-ISCAS 95. Part 3 (of 3) ; Conference date: 30-04-1995 Through 03-05-1995",

}

TY - JOUR

T1 - Improved recursive procedures for envelope-constrained filtering

AU - Zheng, W. X.

AU - Vo, B.

AU - Cantoni, A.

AU - Teo, K. L.

PY - 1995

Y1 - 1995

N2 - This paper presents new recursive procedures for designing optimum envelope-constrained (EC) filters. Using a constraint transcription technique, the inequality constrained quadratic programming problem associated with EC filtering can be approximated as an unconstrained minimization problem. Two types of optimization methods are developed to solve this unconstrained problem in a recursive adjusting manner. Simulations of the proposed recursive procedures are presented which support the theoretical predictions.

AB - This paper presents new recursive procedures for designing optimum envelope-constrained (EC) filters. Using a constraint transcription technique, the inequality constrained quadratic programming problem associated with EC filtering can be approximated as an unconstrained minimization problem. Two types of optimization methods are developed to solve this unconstrained problem in a recursive adjusting manner. Simulations of the proposed recursive procedures are presented which support the theoretical predictions.

UR - http://www.scopus.com/inward/record.url?scp=0029190793&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0029190793

SN - 0271-4310

VL - 2

SP - 1376

EP - 1379

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

T2 - Proceedings of the 1995 IEEE International Symposium on Circuits and Systems-ISCAS 95. Part 3 (of 3)

Y2 - 30 April 1995 through 3 May 1995

ER -

Improved recursive procedures for envelope-constrained filtering

Abstract

Other files and links

Fingerprint

Cite this