We present a novel shadow smoothing algorithm using the bilateral filter. From the observation that shadow leaking, which is found often in filter based approaches, occurs at depth discontinuity seen from the viewpoint of the eye, we apply the bilateral filter which is conceptually a product of two Gaussian filters, one for smoothing the shadow map and the other for handling depth discontinuity...

In this paper we have applied radial basis function neural networks for equalization of wireless channel in the presence of additive noise. We have been tested the adaptive filter algorithms of simple Kalman filter, extended Kalman filter, rbfn Kalman filter, rbfn extended Kalman filter, fuzzy Kalman filter and fuzzy extended Kalman filter which might be considered applicable for wireless chann...

In this paper, we present a new class of rank-order-based filters, lower-upper-middle (LUM) filters. The output of these filters is determined by comparing a lowerand upper-order statistic to the middle sample in the filter window. These filters can be designed for smoothing, sharpening, and outlier rejection. This wide range of characteristics can be obtained from a single filter structure by ...

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Myocardial perfusion SPECT imaging with Tc99m-sestamibi is the most accurate non-invasive means of detecting coronary artery disease and assessing the severity of perfusion abnormalities in the patients with coronary stenosis. Though simple and straight forward the results produced by the technique is very much affected by the details being used. One of the main problems with the test, wh...

myocardial perfusion spect imaging with tc99m-sestamibi is the most accurate non-invasive means of detecting coronary artery disease and assessing the severity of perfusion abnormalities in the patients with coronary stenosis. though simple and straight forward the results produced by the technique is very much affected by the details being used. one of the main problems with the test, which ha...

We present a simplified structure of 3-D adaptive LUM smoother for the impulse noise suppression in image sequences. The proposed reduced filter structure is optimized for possible hardware implementation. Introduced simplifications significantly decrease a filter complexity, however the adaptive LUM smoother based on the proposed reduced set of smoothing levels still provides excellent smoothi...

In this paper, a neurofuzzy adaptive control framework for discrete-time systems based on kernel smoothing regression is developed. Kernel regression is a nonparametric statistics technique used to determine a regression model where no model assumption has been done. Due to similarity with fuzzy systems, kernel smoothing is used to obtain knowledge about the structure of the fuzzy system and th...

The notions of a bipolar fuzzy regularity, a bipolar fuzzy regular subalgebra, a bipolar fuzzy filter, and a bipolar fuzzy closed quasi filter in BCH-algebras are introduced, and several properties are investigated. A characterization of a bipolar fuzzy filter is provided. Mathematics Subject Classification: 06F35, 03G25, 08A72

The first. fixed lag smoothing algorithm mas developed by Rauch [I] as an extension to the fixed interval smoothing algorithm 121. Meditch [3] rederived t.he result,s of [I] using orthogonal project,ion. He conjectured that the h e d lag smoot.her [l], [3] would be asymptotically stable under the usual condit.ions which guarantee asymptotic stability of the Kalman filter. However, Kailath and F...