The well-known a(3 filter achieves its best performance when measurement outliers are rare. Two modifications of the a(3 filter are presented for improving its performance when outliers are commonplace. The a f3 J-l filter uses a drag coefficient to ensure that the target motion model has a finite asymptotic velocity variance. Although the af3J-l filter is less sensitive to outliers than the a ...

The relationship of filter bank trees to wavelet packet trees for subspaces, decimation operators, and coordinates of the projections of a function onto the subspaces is briefly explained. Two designs for the filter banks are summarized and the equations for the designs are provided. For one of these the prototype filters are all the same, and for the other they are the same at each level of th...

An effective technique to design compact low pass filter has been proposed in this paper. The proposed method is highly effective for L-band applications. Low impedance microstrip lines are arranged such that they work as open stubs to increase the selectivity of the filter. Using the proposed technique about 57% size reduction has been realized with sharper roll off characteristics. An empiric...

BACKGROUND Urinary concentrations of thymine, uracil, and their degradation products are useful indicators of deficiencies of enzymes of the pyrimidine degradation pathway. We describe a rapid, specific method to measure these concentrations to detect inborn errors of pyrimidine metabolism. METHODS We used urine or urine-soaked filter-paper strips as samples and measured thymine, uracil, and ...

This paper considers the l2-l∞ filter problem for discrete time-delay Markovian jump neural networks. Attention is focused on the design of a reduced-order filter to guarantee stochastic stability and a prescribed l2-l∞ performance for the filtering error system. In terms of linear matrix inequalities (LMIs), a delay-dependent sufficient condition for the solvability of the addressed problem is...

L-filters are very successful at restoration of signals corrupted by noise. However, their on-line design in real-time applications is practically impossible, since the computation of optimal L-filter coefficients with the existing methods based on numerical approximations are extremely time consuming. In this paper, we present a new design methodology for L-filters. Our approach allows one to ...

A weighted median filter is a nonlinear digital filter consisting of a window of length 2N + 1 and a weight vector W -(W-N . . . . . Wo . . . . . WN). A root signal of a median type filter is a signal that is invariant to the filter. However, not all weighted median filters possess the convergence property. In this paper, we shall study the root structures and the convergence behavior of a subc...

This paper presents the probability hypothesis density (PHD) filter for sets of trajectories. The resulting filter, which is referred to as trajectory probability density filter (TPHD), is capable of estimating trajectories in a principled way without requiring to evaluate all measurement-to-target association hypotheses. As the PHD filter, the TPHD filter is based on recursively obtaining the ...

Different decomposition approaches have been proposed in order to analyse and interpret SAR polarimetric images. These are based either on the complex voltage reflection matrix, like Pauli, or on power reflection matrix, like the covariance or coherency matrix. They produce polarimetric parameters which are appropriate to retrieve information on the scattering process of the target. If the targ...