Image Decomposition and Separation Using Sparse Representations: An Overview [PDF]
This paper gives essential insights into the use of sparsity and morphological diversity in image decomposition and source separation by reviewing our recent work in this field.
Bobin, Jérôme +3 more
core
Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning
Separating audio mixtures into individual instrument tracks has been a long standing challenging task. We introduce a novel weakly supervised audio source separation approach based on deep adversarial learning.
Yan, Junchi, Zhang, Ning, Zhou, Yuchen
core +1 more source
Guest Editorial: Electronic attack and protection for modern radar systems and radar networks
Abstract It is our great pleasure to present you with this IET Radar, Sonar and Navigation special issue on “Electronic Attack and Protection for Modern Radar Systems and Radar Networks”. The recent development of fast digital to analogue converters (DACs) and analogue to digital converters (ADCs), field programmable gate arrays (FPGAs) and parallel ...
Alessio Balleri +3 more
wiley +1 more source
Abstract This paper develops an account of committed beliefs: beliefs we commit to through reflection and conscious reasoning. To help make sense of committed beliefs, I present a new view of conscious reasoning, one of putting yourself in a position to become phenomenally consciously aware of evidence.
Joost Ziff
wiley +1 more source
The prediction of social catastrophes: Between necessity and contingency
Abstract The article argues that social catastrophes are the product of networks of unsaturated social relations that lead to the exponential spread of a social evil (pandemic, poverty, desertification, etc.). In the exponential curve of catastrophe there is an inflection point where, if unsaturated social relations are saturated, the catastrophe can ...
Pierpaolo Donati
wiley +1 more source
Compound Fault Diagnosis of Hydraulic Pump Based on Underdetermined Blind Source Separation
The difficulty in precisely extracting single-fault signatures from hydraulic pump composite faults, which stems from structural complexity and coupled multi-source vibrations, is tackled herein via a new diagnostic technique based on underdetermined ...
Xiang Wu +4 more
doaj +1 more source
Beamforming Techniques for Multichannel audio Signal Separation
Beamforming is a signal processing technique. It has been studied in many areas such as radar, sonar, seismology and wireless communications, to name but a few.
Adel, Hidri +3 more
core +1 more source
Source recovery of underdetermined blind source separation based on SCMP algorithm
In this study, a new algorithm subspace complementary matching pursuit (SCMP) is developed for source recovery of underdetermined blind source separation. The proposed SCMP is more simplified than the conventional complementary matching pursuit (CMP) algorithm.
Weihong Fu, Jiehu Chen, Bo Yang
openaire +1 more source
Blind Spectral-GMM Estimation for Underdetermined Instantaneous Audio Source Separation [PDF]
The underdetermined blind audio source separation problem is often addressed in the time-frequency domain by assuming that each time-frequency point is an independently distributed random variable. Other approaches which are not blind assume a more structured model, like the Spectral Gaussian Mixture Models (Spectral-GMMs), thus exploiting statistical ...
Arberet, Simon +3 more
openaire +2 more sources
Robustness of Planar Fourier Capture Arrays to Colour Changes and Lost Pixels
Planar Fourier capture arrays (PFCAs) are optical sensors built entirely in standard microchip manufacturing flows. PFCAs are composed of ensembles of angle sensitive pixels (ASPs) that each report a single coefficient of the Fourier transform of the far-
A Molnar +7 more
core +1 more source

