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