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Publikováno v:
IEEE Transactions on Signal Processing. 42:2945-2954
Convergence properties are studied for a class of gradient-based adaptive filters known as order statistic least mean square (OSLMS) algorithms. These algorithms apply an order statistic filtering operation to the gradient estimate of the standard le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6066fb95f1eb3bcc6f115814bc03c21c
https://doi.org/10.1109/78.330355
https://doi.org/10.1109/78.330355
Autor:
M.V. Dokic, P.M. Clarkson
Publikováno v:
IEEE Transactions on Signal Processing. 41:1944-1947
The impact of the bias or DC term on the performance of a second-order Volterra least-mean-square (LMS) filter is discussed. Without the DC term the filter may itself produce a biased output. It is shown that including a DC term always degrades adapt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09322b56fc20f0e42d31c754e1e3d398
https://doi.org/10.1109/78.215311
https://doi.org/10.1109/78.215311
Autor:
Mean‐Hoa Lu, P.M. Clarkson
Publikováno v:
The Journal of the Acoustical Society of America. 93:1122-1135
The performance of adaptive noise cancellation (ANC) systems in a reverberant room is investigated. Room reverberation effects are modeled through the method of images, incorporating both direct signal and reverberation effects into the room impulse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2c1fb5daccf4d485b7cd85279a94728
https://doi.org/10.1121/1.405560
https://doi.org/10.1121/1.405560
Publikováno v:
IEEE Transactions on Signal Processing. 41:667-680
The median least-mean-square (MLMS) adaptive filter alleviates the problem of degradation of performance when inputs are corrupted by impulsive noise by protecting the filter coefficients from the impact of the impulses. MLMS is obtained from the lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26f8d8b40e033af7f16ee2349bbbdc39
https://doi.org/10.1109/78.193208
https://doi.org/10.1109/78.193208
Autor:
P.M. Clarkson, Miroslav V. Dokic
Publikováno v:
Mechanical Systems and Signal Processing. 6:403-418
The development of real-time solutions for time-delay (TDE) estimation problems is addressed. Two solutions using adaptive digital filters are evaluated. One is based on the well-known Least Mean Squares (LMS) algorithm (LMSTDE) and the other is a no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dce33bf9751c7066c4e175bb97f41410
https://doi.org/10.1016/0888-3270(92)90065-q
https://doi.org/10.1016/0888-3270(92)90065-q
Autor:
P.M. Clarkson, Geoffrey A. Williamson
Publikováno v:
IEEE Transactions on Signal Processing. 40:2622-2626
Adaptive order statistic filters are used to estimate a constant amplitude signal embedded in noise with unknown statistics. Iterative algorithms are proposed which adapt the order statistic filter to minimize the mean-square estimation error, both w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dff84de8b312977acde1fd80b7b865e
https://doi.org/10.1109/78.157309
https://doi.org/10.1109/78.157309
Autor:
P.M. Clarkson, T.I. Haweel
Publikováno v:
IEEE Transactions on Signal Processing. 40:44-53
Conventional gradient-based adaptive filters, as typified by the well-known LMS algorithm, use an instantaneous estimate of the error-surface gradient to update the filter coefficients. Such a strategy leaves the algorithm extremely vulnerable to imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4553330de019cf1d0dcedc2e3dcd7910
https://doi.org/10.1109/78.157180
https://doi.org/10.1109/78.157180
Publikováno v:
Journal of Electrocardiology. 25:207-211
The authors consider the statistical analysis of threshold crossing intervals, as applied to estimation of tachycardia rates from intracavitary electrograms. The authors developed a class of robust algorithms designed to produce minimum variance esti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d4137ef205969d9cea436a16ad62fdd
https://doi.org/10.1016/0022-0736(92)90103-7
https://doi.org/10.1016/0022-0736(92)90103-7
Publikováno v:
IEEE Transactions on Signal Processing. 40:2897-2903
A simple nonlinear system which can be implemented in real-time on a low-cost microprocessor system is proposed for recovering a speech signal from the remaining samples. It is shown that significant improvement can be obtained relative to simple int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::435a0badb1b3ee5d7f082e93b13726f3
https://doi.org/10.1109/78.175734
https://doi.org/10.1109/78.175734