The concept of local monotonicity appears in the study of the set of root signals of the median filter and provides a measure of the smoothness of a signal. The median filter is a suboptimal smoother under this measure of smoothness, since a filter pass does necessarily yield a locally monotonic output; even if a locally monotonic output does result, there is no guarantee that it will possess o...

An adaptive scaled mean square error (SMSE) filter using a Hopfield neural-network-based algorithm is presented. We show the development of the original SMSE filter from the minimum mean square error (MMSE) filter and the parametric mean square error (PMSE) filter, both of which suffer from the oversmooth phenomena. The SMSE filter is more efficient than the PMSE filter in terms of noise remova...

A method is proposed that uses a filter bank and an adaptive filter for the harmonic estimation in power signals. Here the amplitudes and frequencies of each harmonic is estimated. A fundamental filter bank (FB) decomposes the input power signal into sub signals and multistage FB is used for higher order harmonic decomposition. An adaptive filter is used to estimate the parameters more accurate...

A CMOS switched-current adaptive filter architecture is presented. It is basically a finite impulse response (FIR) transversal filter adapted by using the Least-Mean-Square (LMS) adaptation algorithm. The design is based on delay and multiply-accumulator blocks. The implemented system can be switched to work either as an adaptive filter or as an FIR programmable filter. The adaptation signal ca...