Processing a radar signal and representations of the discrete Heisenberg group
Proof of a Conjecture on the Supports of Wigner Distributions.
Random perturbations of exponential Riesz bases in
Let a sequence be given such that the exponential system forms a Riesz basis in and be a sequence of independent real-valued random variables. We study the properties of the system as well as related problems on estimation of entire functions with random zeroes and also problems on reconstruction of bandlimited signals with bandwidth via their samples at the random points .
Rates of Convergence for the Approximation of Dual Shift-Invariant Systems in ... (...).
Reconstruction in time-warped weighted shift-invariant spaces with application to spline subspaces.
Reconstruction of functions from their triple correlations.
Recovery of band-limited functions on locally compact Abelian groups from irregular samples
Using the techniques of approximation and factorization of convolution operators we study the problem of irregular sampling of band-limited functions on a locally compact Abelian group . The results of this paper relate to earlier work by Feichtinger and Gröchenig in a similar way as Kluvánek’s work published in 1969 relates to the classical Shannon Sampling Theorem. Generally speaking we claim that reconstruction is possible as long as there is sufficient high sampling density. Moreover, the iterative...
Restitution des coefficients d'ondelettes des signaux filtrés
Sampling and Interpolating Sequences for Multiband-Limited Functions and Exponential Bases on Disconnected Sets.
SAR image filtering in wavelet domain by subband depended shrink.
Signal processing and sampling method for obtaining time series corresponding to higher order derivatives.
Signal reconstruction from given phase of the Fourier transform using Fejér monotone methods
The aim is to reconstruct a signal function x ∈ L₂ if the phase of the Fourier transform [x̂] and some additional a-priori information of convex type are known. The problem can be described as a convex feasibility problem. We solve this problem by different Fejér monotone iterative methods comparing the results and discussing the choice of relaxation parameters. Since the a-priori information is partly related to the spectral space the Fourier transform and its inverse have to be applied in each...
Sobolev Type Decomposition of Paley-Wiener-Schwartz Space with Application to Sampling Theory
2000 Mathematics Subject Classification: 94A12, 94A20, 30D20, 41A05.We characterize Paley-Wiener-Schwartz space of entire functions as a union of three-parametric linear normed subspaces determined by the type of the entire functions, their polynomial asymptotic on the real line, and the index p ≥ 1 of a Sobolev type Lp-summability on the real line with an appropriate weight function. An entire function belonging to a sub-space of the decomposition is exactly recovered by a sampling series, locally...
Some properties of -frames of subspaces.
Spectrum of Signals.
Spectrum-oriented source coding theory
Study of a least-squares-based algorithm for autoregressive signals subject to white noise.
SURE shrinkage of gaussian paths and signal identification
Using integration by parts on Gaussian space we construct a Stein Unbiased Risk Estimator (SURE) for the drift of Gaussian processes, based on their local and occupation times. By almost-sure minimization of the SURE risk of shrinkage estimators we derive an estimation and de-noising procedure for an input signal perturbed by a continuous-time Gaussian noise.
SURE shrinkage of Gaussian paths and signal identification*
Using integration by parts on Gaussian space we construct a Stein Unbiased Risk Estimator (SURE) for the drift of Gaussian processes, based on their local and occupation times. By almost-sure minimization of the SURE risk of shrinkage estimators we derive an estimation and de-noising procedure for an input signal perturbed by a continuous-time Gaussian noise.
Synchronization of discrete-time chaotic systems in bandlimited channels.