Abstract
This paper is concerned with the design of peak constrained weighted least square error (PCWLSE) FIR filters. Successive use of Caratheodory's theorem and Farkas' lema leads us to a new approach which is an extended ε-perturbation method to solve the resultant semi-infinite quadratic optimization problems of this type of filter design. The approach does not need the calculation of Lagrange multipliers which may require the inversion of ill-conditioned matrixes, The new proposed method is able to deal with design of both symmetric and asymmetric FIR filters. The computational procedure is illustrated by solving an example.
| Original language | English |
|---|---|
| Title of host publication | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 3 |
| Publication status | Published - 2006 |
| Externally published | Yes |
| Event | 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France Duration: May 14 2006 → May 19 2006 |
Other
| Other | 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 |
|---|---|
| Country | France |
| City | Toulouse |
| Period | 5/14/06 → 5/19/06 |
Fingerprint
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Acoustics and Ultrasonics
Cite this
An extended ε-perturbation method to the problem of semi-infinite quadratic programming in constrained fir filter design. / Masnadi-Shirazi, Mohammad Ali; Zollanvari, Amin.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 3 2006. 1660720.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - An extended ε-perturbation method to the problem of semi-infinite quadratic programming in constrained fir filter design
AU - Masnadi-Shirazi, Mohammad Ali
AU - Zollanvari, Amin
PY - 2006
Y1 - 2006
N2 - This paper is concerned with the design of peak constrained weighted least square error (PCWLSE) FIR filters. Successive use of Caratheodory's theorem and Farkas' lema leads us to a new approach which is an extended ε-perturbation method to solve the resultant semi-infinite quadratic optimization problems of this type of filter design. The approach does not need the calculation of Lagrange multipliers which may require the inversion of ill-conditioned matrixes, The new proposed method is able to deal with design of both symmetric and asymmetric FIR filters. The computational procedure is illustrated by solving an example.
AB - This paper is concerned with the design of peak constrained weighted least square error (PCWLSE) FIR filters. Successive use of Caratheodory's theorem and Farkas' lema leads us to a new approach which is an extended ε-perturbation method to solve the resultant semi-infinite quadratic optimization problems of this type of filter design. The approach does not need the calculation of Lagrange multipliers which may require the inversion of ill-conditioned matrixes, The new proposed method is able to deal with design of both symmetric and asymmetric FIR filters. The computational procedure is illustrated by solving an example.
UR - http://www.scopus.com/inward/record.url?scp=33947647865&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33947647865&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33947647865
SN - 142440469X
SN - 9781424404698
VL - 3
BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ER -