DocumentCode :
456438
Title :
A Novel Method Satisfying Continuous Constraints in Design of Weighted Least Square Complex Laguerre Filters Subject to Magnitude and Phase Constraints
Author :
Zollanvari, Amin ; Masnadi-Shirazi, Mohammad Ali
Author_Institution :
Dept. of Electr. Eng., Shiraz Univ.
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
1190
Lastpage :
1195
Abstract :
Design of peak constraint weighted least square Laguerre filters with complex coefficients is of interest. The complex filter design problem has been converted to the equivalent real coefficient filter design problem. Then, the problem is formulated as a continuous semi-infinite quadratic programming problem. The solution is obtained via the Lagrangian dual problem in such a way that it satisfies all the infinite number of constraints of the problem. Eventually, a numerical example is presented to show the accuracy of the proposed algorithm
Keywords :
filtering theory; least squares approximations; quadratic programming; Lagrangian dual problem; coefficient filter design; complex Laguerre filter; continuous constraint; magnitude constraint; peak constraint; phase constraint; semiinfinite quadratic programming; weighted least square; Chebyshev approximation; Delay; Digital filters; Finite impulse response filter; IIR filters; Lagrangian functions; Least squares methods; Quadratic programming; Speech processing; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location :
Damascus
Print_ISBN :
0-7803-9521-2
Type :
conf
DOI :
10.1109/ICTTA.2006.1684545
Filename :
1684545
Link To Document :
بازگشت