Results 61 to 70 of about 1,353 (157)
To solve the problem of multi-fault blind source separation (BSS) in the case that the observed signals are under-determined, a novel approach for single channel blind source separation (SCBSS) based on the improved tensor-based singular spectrum ...
Dan Yang +5 more
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The subjective logatom articulation index of speech signals enhanced by means of various digital signal processing methods has been measured. To improve intelligibility, the convolutive blind source separation (BSS) algorithm by Parra and
Szymon DRGAS +2 more
doaj
Blind Source Separation Based on Joint Diagonalization in R: The Packages JADE and BSSasymp
Blind source separation (BSS) is a well-known signal processing tool which is used to solve practical data analysis problems in various fields of science. In BSS, we assume that the observed data consists of linear mixtures of latent variables.
Jari Miettinen +2 more
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Concepts and Criteria for Blind Quantum Source Separation and Blind Quantum Process Tomography
Blind Source Separation (BSS) is an active domain of Classical Information Processing, with well-identified methods and applications. The development of Quantum Information Processing has made possible the appearance of Blind Quantum Source Separation ...
Alain Deville, Yannick Deville
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Blind multiuser detection based on instantaneous mixtures
A blind multiuser detection technique used in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems was proposed.
ZHAO Chen, GOU Bin, WANG Ke
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Design of Low-Cost FPGA Hardware for Real-time ICA-Based Blind Source Separation Algorithm
Blind source separation (BSS) of independent sources from their convolutive mixtures is a problem in many real-world multisensor applications. In this paper, we propose and implement an efficient FPGA hardware architecture for the realization of a real ...
Charoensak Charayaphan, Sattar Farook
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With the development of reliable AI-based species classifiers and the design of low-cost autonomous recording units, acoustic monitoring has become an emerging research field.
Leonhard Brüggemann +3 more
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Air pollution prediction using blind source separation with Greylag Goose Optimization algorithm
Particularly, environmental pollution, such as air pollution, is still a significant issue of concern all over the world and thus requires the identification of good models for prediction to enable management.
Anis Ben Ghorbal +7 more
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In order to solve the problem of underdetermined blind source separation (BSS) in the diagnosis of compound fault of roller bearings, an underdetermined BSS algorithm based on null-space pursuit (NSP) was proposed.
Lingli Cui +3 more
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