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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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IEEE Signal Processing Magazine, 1991
Adaptive nonlinear filters equipped with polynomial models of nonlinearity are explained. The polynomial systems considered are those nonlinear systems whose output signals can be related to the input signals through a truncated Volterra series expansion or a recursive nonlinear difference equation. The Volterra series expansion can model a large class
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Adaptive nonlinear filters equipped with polynomial models of nonlinearity are explained. The polynomial systems considered are those nonlinear systems whose output signals can be related to the input signals through a truncated Volterra series expansion or a recursive nonlinear difference equation. The Volterra series expansion can model a large class
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1997
Adaptive infinite impulse response (IIR) filters are those in which the zeros and poles of the filter can be adapted. For that benefit the adaptive IIR filters usually have adaptive coefficients on the transfer function numerator and denominator. Adaptive IIR filters present some advantages as compared with the adaptive FIR filters, including reduced ...
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Adaptive infinite impulse response (IIR) filters are those in which the zeros and poles of the filter can be adapted. For that benefit the adaptive IIR filters usually have adaptive coefficients on the transfer function numerator and denominator. Adaptive IIR filters present some advantages as compared with the adaptive FIR filters, including reduced ...
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Adaptive communication filtering
IEEE Transactions on Information Theory, 1962This paper reports the results of a study of adaptive communication filtering. It is assumed that either the noise or the signal is completely unknown and only the spectrum or autocorrelation function of the other is known. it is desired to filter according to a mean-square error criteria.
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Introduction to Adaptive Filtering
1997In this section, we define the kind of signal processing systems that will be treated in this text.
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Hypercomplex adaptive filtering.
2018The degree of diffusion of hypercomplex algebras in adaptive and non-adaptive filtering research topics is growing faster and faster. The performance of hypercomplex adaptive filters has been widely experimented during the last decade. Quaternion filters, in particular, have been utilized in systems where the signals to be processed have some form of ...
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Constrained maximum correntropy adaptive filtering
Signal Processing, 2017Zhiping Lin, Wee Ser, Badong Chen
exaly