Adaptive filtering and system identification techniques form a cornerstone in modern signal processing and control theory, providing dynamic methods for modelling and real-time adjustment in complex ...
The early characterization of the cerebellar cortical microcircuit gave rise to the influential Marr–Albus framework for modelling cerebellar function. This framework has been used in adaptive-filter ...
CATALOG DESCRIPTION: discrete-time random process, second-order statistics, autoregressive and moving average processes, linear prediction, Wiener filter, stochastic gradient (Least Mean Square) ...
The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...
Wavelet Packet Decomposition (WPD) shows promise as an anti-jamming tool. The WPD is derived from the wavelet transform, which provides a representation of the signal components in a domain spanned by ...
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