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 …
A Kalinli, N Karaboga - Engineering Applications of Artificial Intelligence, 2005 - Elsevier
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 …
PA Regalia - IEEE Transactions on Signal Processing, 1992 - ieeexplore.ieee.org
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 …
P Prandoni, M Vetterli - IEEE transactions on signal processing, 1998 - ieeexplore.ieee.org
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 …
SL Netto, PSR Diniz… - IEEE Transactions on …, 1995 - ieeexplore.ieee.org
Adaptive IIR (infinite impulse response) filters are particularly beneficial in modeling real systems because they require lower computational complexity and can model sharp …