Traditional jitter-noise analysis which mainly focuses on the clock jitter errors for impulse-sampled signals cannot accurately model the sampled-data systems that practically include nonuniform sample-and-hold effects. This paper presents a comprehensive and robust analysis of the imperfections of nonuniformly sampled-and-held signals due to clock jitter. Both the general signal to overall jit...

This article presents a new subspace-based technique for reducing the noise of signals in time-series. In the proposed approach, the signal is initially represented as a data matrix. Then using Singular Value Decomposition (SVD), noisy data matrix is divided into signal subspace and noise subspace. In this subspace division, each derivative of the singular values with respect to rank order is u...

this paper presents a new audio encryption algorithm based on permutation and residue number system. in the current approach, signal samples are combined with residue number system through permutation; therefore, a specific noise is generated. then, the audio signal is combined with the noise, generated by the algorithm, to produce a silence signal. for this purpose, the algorithm uses a predef...

Introduction:. Standard spherical deconvolution approaches assume that HARDI signal can be modeled as a convolution between a common fiber response and a fiber orientation distribution function [1][2]. Recent spherical deconvolution methods improved the quality of the results introducing the non negative constraint of the solution [3][4][5]. It can be verified, however, that instability problem...

Tracking a varying number of moving acoustic sources is a challenging problem with many potential applications. Particle Þlters provide a possible solution, however as the number of sources varies, spurious estimates arise leading to highly inaccurate tracking results. In this paper we propose an algorithm for tracking a varying number of acoustic sources based on the particle Þltering algorith...

in this paper, genetic programming is applied for quality improvement of noisy speech signal. therefore, a system including both spectral subtraction and genetic programming is implemented for speech enhancement. in the proposed method, first noise is reduced by spectral subtraction. in the next step, genetic programming trees are trained for more enhancement of noisy signal by mapping the sign...