Convergence and Summability of Gabor Expansions at the Nyquist Density.
Cross-correlation properties of Costas arrays and their images under horizontal and vertical flips.
Decomposition of vibration signals into deterministic and nondeterministic components and its capabilities of fault detection and identification
The paper investigates the possibility of decomposing vibration signals into deterministic and nondeterministic parts, based on the Wold theorem. A short description of the theory of adaptive filters is presented. When an adaptive filter uses the delayed version of the input signal as the reference signal, it is possible to divide the signal into a deterministic (gear and shaft related) part and a nondeterministic (noise and rolling bearings) part. The idea of the self-adaptive filter (in the literature...
Derivative uniform sampling via Weierstrass . Truncation error analysis in .
Detection of moving objects in image sequences using 3D velocity filters
A movement analysis of objects contained in visual scenes can be performed by means of linear multidimensional filters, which have already been analyzed in the past. While the soundness of the results was convincing, interest in those systems declined due to the limited computational power of contemporary computers. Recent advances in design and implementation of integrated circuits and hardware architectures allow realizing velocity filters if the n-D system is carefully adapted to the analyzed...
Digital signal processors
Estimation of probabilistic noise models based on filtration of sample noise sequences
Fast and accurate methods of independent component analysis: A survey
This paper presents a survey of recent successful algorithms for blind separation of determined instantaneous linear mixtures of independent sources such as natural speech or biomedical signals. These algorithms rely either on non-Gaussianity, nonstationarity, spectral diversity, or on a combination of them. Performance of the algorithms will be demonstrated on separation of a linear instantaneous mixture of audio signals (music, speech) and on artifact removal in electroencephalogram (EEG).
Filtering of signals transmitted in multichannel from Chandrasekhar and Riccati recursions.
In this paper two recursive algorithms are proposed and compared as a solution of the least mean-squared error linear filtering problem of a wide-sense stationary scalar signal from uncertain observations perturbed by white and coloured additive noises. Considering that the state-space model of the signal is not available and that the variables modelling the uncertainty are not independent, the proposed algorithms are derived by using covariance information. The difference between both algorithms...
Frame Analysis of Irregular Periodic Sampling of Signals anf Their Derivatives.
Frequency-Domain Bounds for Nonnegative, Unsharply Band-Limited Functions.
From Continous to Discrete Weyl-Heisenberg Frames Through Sampling.
Fuzzy transforms in image compression and fusion
An overview of direct and inverse fuzzy transforms of three types is given and applications to data processing are considered. The construction and some important properties of fuzzy transforms are presented on the theoretical level. Three applications of -transform to data processing have been chosen: compressional and reconstruction of data, removing noise and data fusion. All of them successively exploit the filtering property of the inverse fuzzy transform.
Gabor Frames, Unimodularity, and Window Decay.
Generalised filtering.
Gibbs' Phenomenon for Sampling Series and What To Do About It.
Gibbs Phenomenon on Sampling Series Based on Shannon's and Meyer's Wavelet Analysis.
Guest Editors' Introduction
Hermite functions and uncertainty principles for the Fourier and the windowed Fourier transforms.
We extend an uncertainty principle due to Beurling into a characterization of Hermite functions. More precisely, all functions f on Rd which may be written as P(x)exp(-(Ax,x)), with A a real symmetric definite positive matrix, are characterized by integrability conditions on the product f(x)f(y). We then obtain similar results for the windowed Fourier transform (also known, up to elementary changes of functions, as the radar ambiguity function or the Wigner transform). We complete the paper with...
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