In this paper an overview of the uncertainty in the results obtained with the histogram test of Analog to Digital Converters is presented. The effect of phase noise, input equivalent additive noise and random phase difference on the number of counts of the cumulative histogram is shown. Theoretical and experimental results are presented.

.......................................................................................................................................... 1 Statement of Authorship ................................................................................................................. 3 Acknowledgements ......................................................................................................

In this paper we explore speech dereverberation techniques whose principle is the recovery of the envelope modulations of the original (anechoic) speech [3],[4]. Based on our previous experience with such kind of processing for additive noise reduction applications, we apply a data designed lterbank technique [2] to the reverberant speech. Comparing our results with other works we discuss the e...

Blind multichannel identification is generally sensitive to background noise. Although there have been some efforts in the literature devoted to improving the robustness of blind multichannel identification with respect to noise, most of those works assume that the noise is Gaussian distributed, which is often not valid in real room acoustic environments. This paper deals with the more practica...

In this paper, we propose a new class of Volterra series based filters for image enhancement and restoration. Generally the linear filters reduce the noise and cause blurring at the edges. Some nonlinear filters based on median operator or rank operator deal with only impulse noise and fail to cancel the most common Gaussian distributed noise. A class of second order Volterra filters is propose...

In multiuser detection techniques, the maximum likelihood multiuser detector provides the best performance in DS-CDMA systems with impulsive ambient noise. But the high complexity makes it impractical. And therefore, effective sup-optimal detectors in non-Gaussian noise are needed. In this paper, we present two-layer perceptron neural network with back propagation training algorithm as a multiu...

High rate serial-data technologies require that receivers be tested under the stress of calibrated levels of Gaussian Random Jitter (RJ) and/or voltage noise. Every standard assumes that noise follows a Gaussian distribution with a white frequency spectrum. Several emerging standards require that stress signals used to test receivers be filtered, PCI Express Gen 2 requires two separately filter...

Background: In myocardial perfusion SPECT imaging, images are degraded by photon attenuation, the distance-dependent collimator, detector response and photons scatter. Filters greatly affect quality of nuclear medicine images Materials and Methods: A phantom simulating heart left ventricle was built. About 1mCi of 99mTc was injected into the phantom. Images were taken from this phantom. Some fi...

This paper proposes a adaptive regularized noise smoothing algorithm for dense range image using directional Laplacian operatos, which preserves discontinuities and removes Gaussian and impulsive noise, simultaneously. In general, dense range data includes heavy noise such as Gaussian noise and impulsive noise. Although the existing regularized noise smoothing algorithm can easily smooth Gaussi...