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Cluster filtering aims at extracting the information necessary for control, while cluster actuation excites or suppresses the cluster filtering output without causing spillover.
Generally, matched filtering aims at maximizing the signal-to-noise ratio (SNR) in additive white Gaussian noise (AWGN) channel, while mis-matched filtering allows for better balancing the effect of inter-symbol interference (ISI) and inter-carrier interference (ICI) experienced in doubly dispersive channels with the effect of noise enhancement.
Multichannel speech enhancement based on spatial filtering aims at improving the quality of the acquired speech.
Bayesian filtering aims to estimate the posterior probability density function (pdf) of the state given the observation as.
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Then the inverse STFT (ISTFT) is taken and the signals are recovered and filtered aiming at each sound source.
The next step is image filtering, aimed at minimizing the influence of the noise, like thin hair or small air bubbles.
The filtering step aims to remove words that have less chance to be terms.
However, the proposed adaptive Savitzky Golay filter aims to provide a generic framework for optimal design of filter vis-à-vis the order and frame size of the filter.
This filter aims to specialize a classifier to a target scene surveilled by a static camera.
Note that this filter aims to mitigate the divergent deviation response stimulated by the time delay in acceleration observation.
The particle filter aims to sequentially estimate the state's distributions, including the predictive distribution ( p(x_{t} left| {y_{1 t - 1} } right).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com