Results 221 to 230 of about 165,941 (265)
Some of the next articles are maybe not open access.
Proceedings. Second Annual Conference on Communication Networks and Services Research, 2004., 2004
We present a new spam filter which acts as an additional layer in the spam filtering process. This filter is based on what we call a representative vocabulary. Spam e-mails are divided into categories in which each category is represented by a set of tokens which form a representative text (RT).
L. Pelletier +2 more
openaire +1 more source
We present a new spam filter which acts as an additional layer in the spam filtering process. This filter is based on what we call a representative vocabulary. Spam e-mails are divided into categories in which each category is represented by a set of tokens which form a representative text (RT).
L. Pelletier +2 more
openaire +1 more source
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.
openaire +2 more sources
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.
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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 ...
openaire +1 more source
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 ...
openaire +1 more source
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.
openaire +3 more sources
Introduction to Adaptive Filtering
1997In this section, we define the kind of signal processing systems that will be treated in this text.
openaire +1 more source