Vibration analysis of machines gains much in efficiency if periodic vibrations can be
separated out from non-deterministic ones. The first part of this paper reviews the existing …

The book systematically introduces theories of frequently-used modern signal processing
methods and technologies, and focuses discussions on stochastic signal, parameter …

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 …

This paper provides a literature review on Adaptive Line Enhancer (ALE) methods based on
adaptive noise cancellation systems. Such methods have been used in various applications …

Telecommunication systems and human-machine interfaces start employing multiple
microphones and loudspeakers in order to make conversations and interactions more …

A doubletalk detector (DTD) is used with an echo canceler to sense when far-end speech is
corrupted by near-end speech. Its role is to freeze the adaptation of the model filter when …

This work studies the performance of dimensional least mean square (TDLMS) adaptive
filters as prewhitening filters for the detection of small objects in image data. The object of …

The Handbook of Neural Computation is a practical, hands-on guide to the design and
implementation of neural networks used by scientists and engineers to tackle difficult and/or …

The topics of control engineering and signal processing continue to flourish and develop. In
common with general scientific investigation, new ideas, concepts and interpretations …

An algorithm for recursively computing the total least squares (TLS) solution to the adaptive
filtering problem is described. This algorithm requires O (N) multiplications per iteration to …