In the last years several algorithms for adaptive IIR filters have been proposed. However,
their practical usage involves considerations such as finding the global minimum, possible …

The application of the adaptive filtering techniques in system identification and control has
received a great interest to model an unknown plant based on the minimisation of the mean …

This thesis has two parts, both related to the development of smartsensor systems. The first
part is a theoretical development of two families of adaptive spatial filters for suppressing …

The increasing demands of speed and performance become evident with the expanding
utilization of signal/image processing to industrial, medical, and military environments. As …

A general infinite impulse response (IIR) or recursive adaptive filter co-efficient vector update
equation is given by where μ (k) is the adaptation gain sequence, and f (k) is the correction …

This thesis contains a study of equalisation of data communication channels against
intersymbol interference using recursive digital filter structures. The charac teristics and …

An adaptive recursive decision feedback equalizer (ARDFE) which utilizes the hyperstable
adaptive recursive filter algorithm is described. The ARDFE is named as the hyperstable …

The least-mean-square adaptation algorithm is extended to state-space recursive filtering in
order to obtain improved adaptive filter structures and take advantage of the better numerical …

The performances of two low-complexity IIR adaptive filtering algorithms applied to the
equalization of a typical transmission line channel are compared. The algorithms considered …

Rosenblatt's algorithm is a recursive method that is often used to adjust the weights of a
single-layer perceptron. It is capable of partitioning the input signal space into two regions …