Control Performance Management in Industrial Automation provides a coherent and self-
contained treatment of a group of methods and applications of burgeoning importance to the …

Since Tong et al.(1991) demonstrated the feasibility of identifying possibly nonminimum
phase channels using second-order statistics, considerable research activity, both in …

The independent component analysis (ICA) of a random vector consists of searching for a
linear transformation that minimizes the statistical dependence between its components. In …

A compendium of recent theoretical results associated with using higher-order statistics in
signal processing and system theory is provided, and the utility of applying higher-order …

With solid theoretical foundations and numerous potential applications, Blind Signal
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …

The author presents a simple algebraic method for the extraction of independent
components in multidimensional data. Since statistical independence is a much stronger …

Conventional blind channel identification algorithms are based on channel outputs and
knowledge of the probabilistic model of channel input. In some practical applications …

The time-varying impulse response of rapidly fading mobile communication channels is
expanded over a basis of complex exponentials that arise due to Doppler effects …

A necessary and sufficient condition for blind deconvolution (without observing the input) of
nonminimum-phase linear time-invariant systems (channels) is derived. Based on this …

This paper presents a new blind equalization algorithm called multimodulus algorithm
(MMA). This algorithm combines the benefits of the well-known reduced constellation …