A class of filters based on histograms are presented. The signal probability density function is estimated and filtering is performed in the pdf domain. Such filters can be designed to preserve signal features such as sharp edges while suppressing stochastic variations. One particular histogram filter scheme is evaluated and compared to a median filter and a normal gaussian blurring filter.

For fault-tolerant real-time filtering, an efficient two-filter architecture is proposed. In the two-filter architecture, a host filter is operated permanently. A compression filter is intermittently initialized and operated during prescribed time intervals. to handle measurements susceptible to soft faults. New compression filters are derived based on time-propagated measurement concept. The d...

The glomerular filtration barrier has long been thought largely impermeable to albumin. Startling new data suggest it may not be especially important in this process. Much of the argument hinges on whether charge selectivity really exists, how feasible it is for enormous quantities of albumin to instead be reclaimed by the proximal tubule, and the technical merits of previous experiments. Three...

We describe an inferior vena cava filter retrieval technique requiring triple venous access performed in a 35-year-old male who was referred for filter removal 16 months after its insertion. The filter showed a right-sided tilt with endothelialization of the distal filter struts into the caval wall. Access was required via both internal jugular veins to straighten the filter using a snared-loop...

We prove that every tower of normal filters of height δ (δ supercompact) is precipitous assuming that each normal filter in the tower is the club filter restricted to a stationary set. We give an example to show that this assumption is necessary. We also prove that every normal filter can be generically extended to a well-founded V -ultrafilter (assuming large cardinals). In this paper we inves...

This paper presents the single channel speech enhancement system using subband Kalman filtering by estimating optimal Autoregressive (AR) coefficients and variance for speech and noise, using Weighted Linear Prediction (WLP) and Noise Weighting Function (NWF). The system is applied for normal and Oesophageal speech signals. The method is evaluated by Perceptual Evaluation of Speech Quality (PES...

in this article, the effect of cells' radius on the behavior of wavelength switching optical filter andthe effect of the radius of the optical filters' key characteristics such as wavelength resonance onan optical filter based on photonic crystals, have been investigated. currently, the most commonapplied mechanism for designing optical filter based on photonic crystals is using twome...

The filtering problem, or dynamic data assimilation problem, is studied for linear and nonlinear systems with continuous state space and over discrete time steps. The paper presents filtering approaches based on the conjugate closed skew normal probability density. This distribution allows additional flexibility over the usual Gaussian approximations. With linear dynamic systems, the filtering ...