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We propose a new framework, called Filtered Variation (FV), for denoising and sparse signal processing applications. These problems are inherently ill-posed. Hence, we provide regularization to overcome this challenge by using discrete time filters that ar ...
Modern mass spectrometry (MS)-based protein identification and characterization relies upon accurate mass measurements of the C-13 isotopic distributions of the enzymatically produced peptides. Interestingly, obtaining peptide elemental composition informa ...
The goal of transductive learning is to find a way to recover the labels of lots of data with only a few known samples. In this work, we will work on graphs for two reasons. First, it’s possible to construct a graph from a given dataset with features. The ...
We demonstrate frequency comb generation via four-wave-mixing in crystalline MgF2 whispering-gallery mode resonators. More than 800 comb lines spaced by 43 GHz are observed. Second order autocorrelation is performed for time-domain characterization. 2010 O ...
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In this correspondence, we introduce a dual-tree rational-dilation complex wavelet transform for oscillatory signal processing. Like the short-time Fourier transform and the dyadic dual-tree complex wavelet transform, the introduced transform employs quadr ...
Tumbleweed is an architectural artifact that engages the private with the public, the exterior with the interior and the ideal with the real in a mirroring effect: the terms of their relationships are multiplied and transformed into a new understanding… ...
In this study, we investigate the possibility of applying a continuous-time ARMA (CARMA) model to radio-frequency ultrasound signals. We consider the effect of the discretization process on the parameters of the continuous system, and we take into account ...
In this paper we propose a low complexity method for Rotation, Scale and Translation (RST) invariant content-based image retrieval, suitable for a handheld image recognition device. The RST compensation method is based on Fourier-Mellin Transform (FMT) whi ...
The thesis work was motivated by the goal of developing personalized speech-to-speech translation and focused on one of its key component techniques – cross-lingual speaker adaptation for text-to-speech synthesis. A personalized speech-to-speech translator ...
Context. High-precision cosmology requires the analysis of large-scale surveys in 3D spherical coordinates, i.e. spherical Fourier-Bessel decomposition. Current methods are insufficient for future data-sets from wide-field cosmology surveys. ...