The concept of adaptation in digital filtering has proven to be a powerful and versatile means
of signal processing in applications where precise a priori filter design is impractical …

A class of stable algorithms for adapting infinite impulse response (IIR) digital filters based
on the concepts of nonlinear stability theory prominent in the control literature is emerging …

A convergence proof for a hyperstable adaptive recursive filter (Corresp.) Page 1 IEEE
TRANSACTIONS ON INFORMATION THEORY, VOL. IT-25, NO. 6, NOVEMBER 1979 745 is an …

The constant modulus algorithm (CMA) of adaptive filtering was developed for usage when
the modulus of the desired signal is known, but its specific value at every sample instant is …

Two-dimensional recursive filters are defined from a different point of view. A general
stability preserving mapping theorem is presented which allows most recursive filters of a …

A variety of theoretical results are derived for a well-known class of discrete-time adaptive
filters. First the following idealized identification problem is considered: a discrete-time …

Most adaptive filters are inherently nonlinear and time-variant systems. The nonlinearities in
the update equations tend to lead to difficulties in the study of their steady-state performance …

A general scheme for changing sampling rates is developed, and a method of designing
recursive (IIR) filters for use in this general scheme is presented. If phase response is …

An adaptive filter is a computational device that attempts to model the relationship between
two signals in real time in an iterative manner. Adaptive filters are often realized either as a …

The normalized least mean square (NLMS) algorithm is an important variant of the classical
LMS algorithm for adaptive linear filtering. It possesses many advantages over the LMS …