DocumentCode :
1312747
Title :
Array based design of digital filters
Author :
Aravena, J.L. ; Porter, W.A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA
Volume :
38
Issue :
9
fYear :
1990
fDate :
9/1/1990 12:00:00 AM
Firstpage :
1628
Lastpage :
1632
Abstract :
It is noted that signal processing designs for real-time large-scale systems are increasingly confronted with two conflicting objectives. The traditional objective of optimal design in low signal-to-noise ratio environments is confronted with the need for simplicity in implementation and speed of computation. The inclusion of high throughput and efficient hardware utilization as constraints on digital filter designs is considered. In particular, implementation of the design via an array processor is introduced. The concept of fast processing becomes synonymous with high throughout and efficient implementation on such a device. Using an array interpretation of the FFT structure, the retention of this highly efficient structure in a general design setting is demonstrated. For a typical signal extraction design, a constrained least-squares minimization is introduced to determine optimal enhancing filters with highly efficient array implementation
Keywords :
digital filters; fast Fourier transforms; filtering and prediction theory; signal processing; FFT structure; array processor; constrained least-squares minimization; digital filters; efficient hardware utilization; fast processing; high throughout; highly efficient array implementation; optimal enhancing filters; real-time large-scale systems; signal extraction design; signal processing; Acoustic distortion; Acoustic signal processing; Array signal processing; Digital filters; Large-scale systems; Least squares approximation; Real time systems; Signal design; Signal processing algorithms; Speech;
fLanguage :
English
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
0096-3518
Type :
jour
DOI :
10.1109/29.60079
Filename :
60079
Link To Document :
بازگشت