DocumentCode :
406238
Title :
Optimization and implementation of extrapolated impulse response filters
Author :
Yu, Ya Jun ; Zhao, Guohui ; Teo, Kok Lay ; Lim, Yong Ching
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
Volume :
1
fYear :
2003
fDate :
14-17 Dec. 2003
Firstpage :
744
Abstract :
The impulse response of an FIR lowpass or highpass filter is quasi-periodic and enclosed in an envelope with diminishing magnitude. Its energy concentrates near the center. This diminishing energy and quasi-periodic nature of the impulse response have been exploited in Y.C. Lim (1990) to reduce the complexity of an FIR filter using a scheme called the extrapolated impulse response technique. In this paper, a semi-infinite programming is proposed to jointly optimize the filter coefficients and the extrapolated scaling factors. A realization structure making use of the coefficient symmetry is also presented. An example taken from literature is included illustrating that the number of multipliers for the resulting filter is less than 65 percent of existing results.
Keywords :
FIR filters; extrapolation; high-pass filters; low-pass filters; mathematical programming; transient response; FIR highpass filter; FIR lowpass filter; coefficient symmetry; diminishing magnitude; extrapolated impulse response filters; extrapolated scaling factors; filter coefficients; quasiperiodic; realization structure; semiinfinite programming; Digital filters; Digital signal processing; Finite impulse response filter; Frequency; Hardware; Mathematics; Narrowband; Power engineering and energy; Predictive encoding; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
Type :
conf
DOI :
10.1109/ICNNSP.2003.1279382
Filename :
1279382
Link To Document :
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