Abstract

In this work, we consider new computational aspects to improve the approximation of Hilbert-Schmidt operators via generalized Gabor multipliers. One aspect is to consider the approximation of the symbol of an Hilbert-Schmidt operator as L2 projection in the spline-type space associated to a Gabor multiplier. This gives the possibility to employ a selection procedure of the analysis and synthesis function, interpreted as time-frequency lag; hence, with the related algorithm it is possible to handle both underspread and overspread operators. In the numerical section, we exploit the case of approximating overspread operators having compact and smooth spreading function and discontinuous time-varying systems. For the latter, the approximation of discontinuities in the symbol is not straightforward achievable in the generalized Gabor multipliers setting. For this reason, another aspect is to further process the symbol through a Hough transform, to detect discontinuities and to smooth them using a new class of approximants. This procedure creates a bridge between features detections techniques and harmonic analysis methods and in specific cases it almost doubles the accuracy of approximation.

Highlights

  • The problem of approximating Hilbert-Schmidt (HS) via Gabor multipliers was approached by several authors [4, 8, 11] due to its important applications in computational sciences and signal processing [1]

  • In [4], the authors have improved the approximation of HS operators using Generalized Gabor Multipliers (GGM)

  • We have started from the theory proposed in [8] and we have designed a realizable algorithm that improves the overall numerical approximation of the HS operators in three ways: in speed by transferring the problems in splines-spaces domain, in complexity by lowering the number of atoms through a proper selection procedure, and geometrically via a feature detection technique i.e. the Hough transform

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Summary

Introduction

The problem of approximating Hilbert-Schmidt (HS) via Gabor multipliers was approached by several authors [4, 8, 11] due to its important applications in computational sciences and signal processing [1]. In [8], the authors present the connection between the approximation of the HS operators and GGM via multi-window spline-type. We prefer a more classical approach [20] that does not involve modulation spaces [5] since we restrict our study to the class of HS operators This general theory will lead to usual L2-projection once restricted to square integrable functions. We show the robustness of the generators selection procedure for operators having smooth symbol and the inability of GGM of handling discontinuities We overcome this problem by looking at the reminder as an image and using a common tool in image processing and pattern recognition: the Hough transform (HG) [15]

Theoretical brief
Gabor multipliers as Rihaczek spline-type systems
GGM in the Fourier domain: selection procedure
Numerical tests
Conclusions
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