DocumentCode :
1396062
Title :
Improved clustered look-ahead pipelining algorithm with minimum order augmentation
Author :
Kyung Hi Chang
Author_Institution :
Mobile Multimedia Sect., Electron. & Telecommun. Res. Inst., Daejeon
Volume :
45
Issue :
10
fYear :
1997
fDate :
10/1/1997 12:00:00 AM
Firstpage :
2575
Lastpage :
2579
Abstract :
The author compares the overall performance of clustered look-ahead (CLA) filters with minimum order augmentation and scattered look-ahead (SLA) filters. To optimize the domain searching procedure and to improve the numerical performance, an improved CLA algorithm with minimum order augmentation, which is especially beneficial for high-Q high-speed digital filters, is proposed. This algorithm is optimized in the aspect of minimizing both the augmented pipelining order and undesirable quantization effects simultaneously. The proposed CLA structure with minimum order augmentation turns out to be very suitable for the applications that require high-speed and numerical stability
Keywords :
Q-factor; filtering theory; numerical stability; pipeline processing; quantisation (signal); recursive filters; search problems; augmented pipelining order; clustered look ahead filters; clustered look ahead pipelining algorithm; domain searching procedure; high-Q high speed digital filters; minimum order augmentation; numerical performance; numerical stability; performance; pipelined recursive filter; quantization effects; scattered look ahead filters; Clustering algorithms; Digital filters; Numerical stability; Parallel processing; Pipeline processing; Prototypes; Quantization; Scattering; Signal processing algorithms; Transfer functions;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.640722
Filename :
640722
Link To Document :
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