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Mathematical formulations corresponding to the required invariances leads up to the introduction of a new class of filter sets termed loglets.
In 2002, Fletcher and Leyffer [3] proposed a class of filter methods, which does not require any penalty parameter and has promising numerical results.
It is also interesting to note that the researchers who have studied filter banks, mostly, for signal compression applications, have invented a class of filter banks which are called modified DFT MDFTT) filter bank, [22].
The class of filter schemes developed by Yee et al. (1999) [33], Sjögreen and Yee (2004) [27] and Yee and Sjögreen (2007) [38] consist of two steps, a full time step of spatially high-order non-dissipative base scheme and an adaptive non-linear filter containing shock-capturing dissipation.
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By early 1926, Laidlaw and Dunkin claimed that 'the infecting agent of dog-distemper belongs to the class of filter-passing viruses' on three counts: its filterability, its resistance to cultivation, and its dependence on living tissue such that it could not be grown 'outside the [animal] body'.
A class of filters for large eddy simulations of turbulent inhomogeneous flows is presented.
The proposed class of filters improves the frequency response of classical comb filters in two respects.
The Butterworth is a class of filters that provides maximally flat response in the passband.
It is further shown that this class of filters can be realized even without the need of different characteristic impedance.
The introduced class of filters can be used on the amplitude and phase equalization of both FIR and IIR digital filters.
We also address a framework to implement multiplierless filters and to compensate for the passband droop introduced by this class of filters.
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