Results 11 to 20 of about 173,282 (309)
Adaptive algorithms are used in updating the filter coefficients for active noise cancellation applications in reduction of vehicle cabin noise. The performance of the adaptive algorithms in low-frequency noise cancellation depends on how efficiently it ...
Janak Kapoor +3 more
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Rejection of PSK interference in DS-SS/PSK system using adaptive transversal filter with conditional response recalculation [PDF]
PSK interference rejection using complex adaptive filter with conditional response recalculation in DS-SS/PSK system is considered in this paper. New adaptive filter decreases error probability for several orders of magnitude when compared to the ...
Nikolić Zorica +2 more
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Adaptive Filtering Revisited [PDF]
This paper shows that the adaptive filtering and forecasting techniques proposed by Makridakis and Wheelwright can be viewed as approximations to a more precise filtering method in which the Kalman filter is applied to a dynamic autoregressive model which is a special case of the models of Harrison and Stevens.
Nau, Robert F, Oliver, Robert M
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Detection Algorithm For Active Filters Based On Adaptive Inverse Control
In order to accurately compensate the harmonics and reactive power of the active power filter, a paralleltype active filter detection algorithm based on adaptive inverse control is proposed to control and follow the DC capacitor voltage, obtain the ...
Longhai Fu
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Time-Range Adaptive Focusing Method Based on APC and Iterative Adaptive Radon-Fourier Transform
In conventional radar signal processing, the cascade of pulse compression (i.e., matched filter) and Radon-Fourier transform (RFT) can extract the estimated scattering coefficient of the target in the range-velocity dimension through long-time coherent ...
Jian Guan +4 more
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On the Relation Between Smooth Variable Structure and Adaptive Kalman Filter
This article is addressed to the topic of robust state estimation of uncertain nonlinear systems. In particular, the smooth variable structure filter (SVSF) and its relation to the Kalman filter is studied.
Mark Spiller, Dirk Söffker
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Adaptive acoustooptic filter [PDF]
A new adaptive filter utilizing acoustooptic devices in a space integrating architecture is described. Two configurations are presented; one of them, suitable for signal estimation, is shown to approximate the Wiener filter, while the other, suitable for detection, is shown to approximate the matched filter.
D, Psaltis, J, Hong
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This study introduces a fuzzy based optimal state estimation approach. The new method is based on two principles: Adaptive Unscented Kalman filter, and Fuzzy Adaptive Grasshopper Optimization Algorithm. The approach is designed for the optimization of an
Reza Mohammadi Asl +3 more
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The increased power of small computers makes the use of parameter estimation methods attractive. Such methods have a number of uses in analytical chemistry. When valid models are available, many methods work well, but when models used in the estimation are in error, most methods fail.
Brown, Steven D., Rutan, Sarah C.
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Bearing Fault Signal Analysis Based on an Adaptive Multiscale Combined Morphological Filter
Bearing fault signal analysis is an important means of bearing fault diagnosis. To effectively eliminate noise in a fault signal, an adaptive multiscale combined morphological filter is proposed based on the theory of mathematical morphology.
Chun Lv +4 more
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