An exhaustive review on the use of structured stochastic search approaches towards system
identification and digital filter design is presented in this paper. In particular, the paper …

Integrates rational approximation with adaptive filtering, providing viable, numerically
reliable procedures for creating adaptive infinite impulse response (IIR) filters. The choice of …

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 order to transform and analyse signals that have been sampled from analogue sources,
digital signal processing (DSP) algorithms are employed. The advantages of DSP are based …

Over the past decade, interest in computational or non-symbolic artificial intelligence has
grown. The algorithms involved have the ability to learn from past experience, and therefore …

Over the recent years, several studies have been carried out by the researchers to describe
a general, flexible and powerful design method based on modern heuristic optimisation …

Adaptive infinite impulse response filters have received much attention due to its utilization
in a wide range of real-world applications. The design of the IIR filters poses a typically …

Previous attempts at applying lattice structures to adaptive infinite-impulse-response (IIR)
filtering have met with gradient computations of O (N/sup 2/) complexity. To overcome this …

An alternative structure for adaptive linear prediction is proposed in which the adaptive filter
is replaced by a cascade of independently adapting, low-order stages, and the prediction is …

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