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Recursive Fixed-Order Covariance Least-Squares Algorithms
Bell System Technical Journal, 1983This paper derives fixed-order recursive Least-Squares (LS) algorithms that can be used in system identification and adaptive filtering applications such as spectral estimation, and speech analysis and synthesis. These algorithms solve the sliding-window and growing-memory covariance LS estimation problems, and require less computation than both ...
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An adaptive recursive-least-squares identification algorithm
1969 IEEE Symposium on Adaptive Processes (8th) Decision and Control, 1969A new algorithm for identification from input-output measurements of a canonical form for discrete-time linear systems with disturbances having rational spectral densities is obtained by a formal application of the recursive least squares formula. Although in this case the assumptions of the least squares method are violated, the algorithm is shown to ...
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Spatio-Temporal Regularized Recursive Least Squares Algorithm
2014Intuitively, any estimation process can profit enormously from prior knowledge. Incorporating prior knowledge into the adaptive filtering problem is typically done by means of regularization. This chapter gives a systematic consideration for regularization strategies exploiting sparseness for the identification of acoustic room impulse responses ...
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Recursive least-squares algorithm revisited
IEE Proceedings D Control Theory and Applications, 1981openaire +1 more source
Quantized Kernel Least Mean Square Algorithm
IEEE Transactions on Neural Networks and Learning Systems, 2012Badong Chen, Songlin Zhao
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The Kernel Least-Mean-Square Algorithm
IEEE Transactions on Signal Processing, 2008Weifeng Liu
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