The field of Digital Signal Processing has developed so fast in the last five decades that it
can be found in the graduate and undergraduate programs of most universities. This …

An overview is presented of several methods, filter structures, and recursive algorithms used
in adaptive infinite-impulse response (IIR) filtering. Both the equation-error and output-error …

Conventional derivative based learning rule poses stability problem when used in adaptive
identification of infinite impulse response (IIR) systems. In addition the performance of these …

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal
processing using examples and computer simulations drawn from a wide range of …

In this paper we examine the problem of control of multivariable systems using neural
networks. The problem is discussed assuming different amounts of prior information …

Lnear prediction theory and the related algorithms have matured to the point where they
now form an integral part of many real-world adaptive systems. When it is necessary to …

System identification is a challenging and complex optimization problem due to nonlinearity
of the systems and even more in a dynamic environment. Adaptive infinite impulse response …

Abstract Design of adaptive infinite impulse response (IIR) filter is the process of utilizing
adaptive algorithm to iteratively determine the filter parameters to obtain an optimal model …

Adaptive IIR (infinite impulse response) filters are particularly beneficial in modeling real
systems because they require lower computational complexity and can model sharp …

The authors present an identification technique that is robust to nonparametric uncertainty
(ie, model mismatch). The identifier produces both a parameter set estimate and a frequency …