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This paper focuses on the construction of biorthogonal interpolating multiscaling functions of multiplicity four with approximation order N. Firstly, using interpolating property, the parametric expression with filters of the biorthogonal multiscaling function is derived. Secondly, this paper also shows that there is not exist any interpolating biorthogonal multiwavelet of multiplicity 4 with symmetry...
The robust H∞ filtering problem for both continuous- and discrete-time singular systems with polytopic-type uncertainties is addressed. Attention is focused on the design of a parameter-dependent filter, such that the filtering error system is admissible with prescribed or optimized H∞ noise attenuation level. Without using decomposition technique to the singular model, sufficient condition for the...
The distributed or scalable robust filtering problem using average consensus strategy in a sensor network is investigated in this paper. Specifically, based on the information form robust filter, every node estimates the global average information contribution using local and neighbors' information rather than using the information from whole network. Due to the adoption of iterations of robust filter,...
Since LCL filter has smaller inductance value comparing to L type filter with the same performance in harmonic suppression. It is gradually used in high-power and low-frequency current-source-controlled grid-connected converters. However design of LCL filter's parameter not only relates switch frequency ripple attenuation, but also impacts on performance of grid-connected current controller. This...
In this paper, a novel filtering based on Lagrange interpolation techniques is proposed for detail preserving restoration of impulse noise corrupted images. For the corrupted pixel, we use a four direction interleaved interpolation value to replace the corrupted value. The performance of the proposed operator is tested for different test images corrupted at various noise densities. Experimental results...
Median filter was once the most popular nonlinear filter for removing impulse noise because of its good denoising power. In this paper, we present a novel adaptive fuzzy median filter to the restoration of salt & pepper impulse noise-corrupted image, which is particularly effective at removing highly impulsive noise. First we estimate noise level based on fussy set theory, then process the corrupted...
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