Journal ArticleDOI
Fast implementations of LMS adaptive filters
TLDR
In this paper, a frequency domain implementation of the LMS adaptive transversal filter is proposed, which requires less computation than the conventional LMS filter when the filter length equals or exceeds 64 sample points.Abstract:
A frequency domain implementation of the LMS adaptive transversal filter is proposed. This fast LMS (FLMS) adaptive filter requires less computation than the conventional LMS adaptive filter when the filter length equals or exceeds 64 sample points.read more
Citations
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Journal ArticleDOI
Frequency-domain and multirate adaptive filtering
TL;DR: An overview is presented of several frequency-domain adaptive filters that efficiently process discrete-time signals using block and multirate filtering techniques, including convergence properties and computational complexities of the adaptive algorithms and the effects of circular convolution and aliasing on the converged filter coefficients.
Journal ArticleDOI
Transform domain LMS algorithm
TL;DR: In this article, the concept of transform domain adaptive filtering is introduced and the relationship between several existing frequency-domain adaptive filtering algorithms is established, and applications of the discrete Fourier transform (DFT) and the discrete cosine transform (DCT) domain adaptive filter algorithms in the areas of speech processing and adaptive line enhancers are discussed.
Proceedings Article
Blind Source Separation and Independent Component Analysis: A Review
TL;DR: A review of BSS and ICA, including various algorithms for static and dynamic models and their applications, including several algorithms for dynamic models (convolutive mixtures) incorporating with sparseness or non-negativity constraints is presented.
Journal ArticleDOI
Block implementation of adaptive digital filters
TL;DR: In this paper, a block adaptive filtering procedure is proposed in which the filter coefficients are adjusted once per each output block in accordance with a generalized least mean-square (LMS) algorithm.
Journal ArticleDOI
Multidelay block frequency domain adaptive filter
J.-S. Soo,K.K. Pang +1 more
TL;DR: The distinctive feature of the MDF adaptive filter is to allow one to choose the size of an FFT tailored to the efficient use of the hardware, rather than the requirements of a specific application, making it ideal for a time-varying application.
References
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Journal ArticleDOI
Adaptive noise cancelling: Principles and applications
Bernard Widrow,J.R. Glover,John M. McCool,J. Kaunitz,C.S. Williams,R.H. Hearn,James R. Zeidler,Jr. Eugene Dong,R.C. Goodlin +8 more
TL;DR: It is shown that in treating periodic interference the adaptive noise canceller acts as a notch filter with narrow bandwidth, infinite null, and the capability of tracking the exact frequency of the interference; in this case the canceller behaves as a linear, time-invariant system, with the adaptive filter converging on a dynamic rather than a static solution.
Book ChapterDOI
Stationary and nonstationary learning characteristics of the LMS adaptive filter
TL;DR: It is shown that for stationary inputs the LMS adaptive algorithm, based on the method of steepest descent, approaches the theoretical limit of efficiency in terms of misadjustment and speed of adaptation when the eigenvalues of the input correlation matrix are equal or close in value.
Journal ArticleDOI
Adaptive antenna systems
TL;DR: In this article, a simple adaptive technique based on the least-mean-squares (LMS) algorithm is proposed to adjust the variable weights of a signal processor by forming appropriate nulls in the antenna directivity pattern.
Journal ArticleDOI
Adaptive filtering in the frequency domain
TL;DR: Adaptive filtering in the frequency domain can be accomplished by Fourier transformation of the input signal and independent weighting of the contents of each frequency bin this article, which performs similarly to a conventional adaptive transversal filter but promises a significant reduction in computation when the number of weights equals or exceeds 16.
Principles and Applications of Adaptive Filters: A Tutorial Review,
John M. McCool,Bernard Widrow +1 more
TL;DR: Experimental results obtained by computer simulation are presented that show the ability of the adaptive transversal filter to model an unknown network or physical system; to reduce or eliminate intersymbol interference in multipath communication channels; to reduced or eliminate periodic interference in electrocardiography and broadband interference in the sidelobes of an antenna array.