We study signal processing tasks in which the is mapped via some generalized time-frequency transform to a higher dimensional space, processed there, and synthesized an output signal. show how approximate such methods using quasi-Monte Carlo (QMC) approach. consider cases where representation redundant, having feature axes addition time frequency axes. The proposed QMC method allows sampling bo...

Abstract Due to the Heisenberg–Gabor uncertainty principle, finite oscillation transients are difficult localize simultaneously in both time and frequency. Classical estimators, like short-time Fourier transform or continuous-wavelet optimize either temporal frequency resolution, find a suboptimal tradeoff. Here, we introduce spectral estimator enabling time-frequency super-resolution, called s...