Results 231 to 240 of about 97,250 (266)
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A theory of adaptive filtering
IEEE Transactions on Information Theory, 1966This paper considers the adaptive signal extraction problem for time-discrete data when only very general a priori assumptions regarding the distributions of signal and noise are possible. Specifically, it is assumed that the noise is white, additive, and signal independent with mean zero and unknown variance and that the signal is band-limited.
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Multikernel Adaptive Filtering
IEEE Transactions on Signal Processing, 2012This paper exemplifies that the use of multiple kernels leads to efficient adaptive filtering for nonlinear systems. Two types of multikernel adaptive filtering algorithms are proposed. One is a simple generalization of the kernel normalized least mean square (KNLMS) algorithm [2], adopting a coherence criterion for dictionary designing.
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Adaptive KNN-Based Extended Collaborative Filtering Recommendation Services
Big Data and Cognitive Computing, 2023Quoc-Trinh Võ +2 more
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Vehicle State Estimation Based on Sage–Husa Adaptive Unscented Kalman Filtering
World Electric Vehicle Journal, 2023Yong Chen, Hao Yan
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Constrained maximum correntropy adaptive filtering
Signal Processing, 2017Zhiping Lin, Wee Ser, Badong Chen
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Robust Hammerstein Adaptive Filtering under Maximum Correntropy Criterion
Entropy, 2015Haiquan Zhao +2 more
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Adaptive piecewise polynomial estimation via trend filtering
Annals of Statistics, 2014Ryan Tibshirani
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