DocumentCode
2255687
Title
Least-mean square adaptation of the orthogonal block adaptive line enhancer
Author
Knill, K.M. ; Constantinides, A.G.
Author_Institution
Dept. of Electr. Eng. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
fYear
1993
fDate
1-3 Nov 1993
Firstpage
663
Abstract
A new method of adapting the orthogonal block adaptive line enhancer (OBALE) is proposed based on the least-mean square class of algorithms. The method is shown to have a low computational cost with a short adaptive filter length. The latter results from the admission of poles in the filter transfer function which allows the desired sharp, multi-bandpass, frequency response to be achieved with a few coefficients. The adaptive algorithm is derived from the normalised LMS and the recursive LMS algorithms for the orthogonal block filter. Stability monitoring is required to ensure the adaptive poles do not move outside the unit circle but this is shown to be very simple, adding just two extra operations per pole to the algorithm. Simulations are presented to show performance capabilities
Keywords
adaptive filters; adaptive signal detection; frequency response; least mean squares methods; numerical stability; poles and zeros; recursive filters; OBALE; adaptive algorithm; adaptive poles; computational cost; filter transfer function; least-mean square adaptation; multibandpass frequency response; normalised LMS algorithm; orthogonal block adaptive line enhancer; orthogonal block filter; performance capabilities; recursive LMS algorithm; short adaptive filter length; stability monitoring; Adaptive algorithm; Adaptive filters; Adaptive signal processing; Band pass filters; Biomedical signal processing; Computational efficiency; Finite impulse response filter; Frequency response; Least squares approximation; Line enhancers; Monitoring; Narrowband; Signal processing algorithms; Sonar detection; Stability; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
0-8186-4120-7
Type
conf
DOI
10.1109/ACSSC.1993.342601
Filename
342601
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