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Dual forms for constrained adaptive filteringFertig, Louis B. 08 1900 (has links)
No description available.
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Advanced signal processing techniques for the detection of ventricular late potential activitySpaargaren, Alamo January 1999 (has links)
No description available.
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Adaptive filters applied on radar signals / Adaptiva filter applicerade på radar signalerSalminen, Daniel January 2013 (has links)
This master thesis has been performed at SAAB AB in Järfälla, Sweden.A radar warning receiver must alert the user when someone highlights it with radarsignals. Radar signals used today varies and has a wide frequency band. In order todetect all possible radar signals the radar warning receiver must have a widebandwidth. This results in that the noise power will be high in the radar warningreceiver and weak radar signals will be hard to detect or even undetected.The aim of the thesis work was to investigate the possibility to suppress the noise inthe received radar signals. Unfortunately we do not know the frequency of thereceived radar signals, since the frequency has been decided by the threat radar. Wehave used adaptive filters, which adapts it band-pass to the received radar signal. Theadaptive filters must converge quickly to the state it reduces the noise and passes theradar signals since radar pulses can be very short in the time domain. We also wantto achieve a high SNR gain that is a measurement of how well the adaptive filterreduces the noise.We have investigated two adaptive algorithms, the recursive least square (RLS)algorithm and the least mean square (LMS) algorithm. We found out that the LMSalgorithm was more suitable for noise cancellation in radar applications due to its lowcomplexity and stability compared to RLS algorithm. The LMS algorithm gave SNRgains in the span 14-20 dB for different radar pulses.
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Estimation of a wideband fading HF channel using modified adaptive filtersCarvalho, Christopher Alan. January 1993 (has links)
Thesis (M.S.)--Ohio University, June, 1993. / Title from PDF t.p.
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Blind adaptive cyclic filtering and beamforming algorithms /Zhang, Jie. January 2001 (has links)
Thesis (Ph.D.) -- McMaster University, 2001. / Includes bibliographical references (leaves 179-186). Also available via World Wide Web.
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Enhancement of Speech Auditory Brainstem Responses Using Adaptive FiltersAnwar, Fallatah January 2012 (has links)
Several adaptive filters were investigated to enhance speech auditory brainstem responses (speech ABR). The objective was to shorten the long recording time currently needed by the standard coherent averaging method to obtain acceptable performance, which has limited the clinical adoption of speech ABR. Five algorithms were implemented: Wiener Filter (WF), Steepest Descent (SD), Adaptive Noise Cancellation (ANC) based on Least-Mean-Square error (LMS) and normalized LMS error (nLMS), and a multi-adaptive cascade combination of SD and LMS. The performance of the adaptive filters was assessed on speech ABR data gathered from several subjects and compared with coherent averaging using the overall Signal-to-Noise Ratio (SNR), the local SNR around the fundamental frequency and the first formant, and Mean-Square-Error (MSE) in the time and frequency domains. The adaptive filters could reduce the time needed, by at least one order of magnitude, for obtaining comparable signal quality as that obtained with coherent averaging.
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Nonlinear adaptive filtering for echo cancellation and decision feedback equalizationMichaelides, John Frixou January 1987 (has links)
No description available.
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Novel structures for very fast adaptive filtersMcWhorter, Francis LeRoy January 1990 (has links)
No description available.
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Adaptive impedance controlLove, Lonnie J. 08 1900 (has links)
No description available.
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Improved analysis and design of efficient adaptive transversal filtering algorithms with particular emphasis on noise, input andchannel modelingZhou, Yi, 周翊 January 2006 (has links)
published_or_final_version / abstract / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy
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