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.

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...

Symmetric white noise can induce directed current in periodic potentials that lack reflection symmetry ~termed ratchets!. The requirement for this to occur is that the white noise possesses non-Gaussian statistical properties with all its odd numbered cumulant correlation averages vanishing identically. The fluctuationinduced current is elucidated for three types of white noise: ~i! symmetric w...

In this paper we show that the knowledge of noise statistics contaminating a signal can be effectively used to choose an optimal Gaussian filter to eliminate noise. Very specifically, we show that the additive white Gaussian noise (AWGN) contaminating a signal can be filtered best by using a Gaussian filter of specific characteristics. The design of the Gaussian filter bears relationship with t...

In this paper, a new combination of Minimum Description Length (MDL) or Eigenvalue Gradient Method (EGM), Joint Approximate Diagonalization of Eigenmatrices (JADE) and Modified Forward-Backward Linear Prediction (MFBLP) algorithms is proposed which determines the number of non-coherent source groups and estimates the Direction Of Arrivals (DOAs) of coherent signals in each group. First, the MDL...

The purpose of this paper is to illustrate the issues involved in designing the demodulator portion of a universal receiver for unknown or time-varying channels by means of a specific example. We consider the class of nonselective Rician fading channels with additive white Gaussian noise. The optimal receiver for a Rician channel depends on the parameters of the channel, and the collection of o...

This paper presents a new hidden Markov model-based (HMM-based) speech enhancement framework based on the independent component analysis (ICA). We propose analytical procedures for training clean speech and noise models by the Baum re-estimation algorithm and present a Maximum a posterior (MAP) estimator based on Laplace-Gaussian (for clean speech and noise respectively) combination in the HMM ...