Results 1 to 10 of about 293,798 (360)

Gain-Phase Errors Calibration for a Linear Array Based on Blind Signal Separation. [PDF]

Sensors (Basel), 2020
In this paper, a non-iterative blind calibration algorithm for gain-phase errors is proposed. A mixing matrix is first obtained from the received observation data through blind signal separation.
Dai Z, Su W, Gu H.
europepmc   +2 more sources

Detection of Partial Discharge Sources Using UHF Sensors and Blind Signal Separation. [PDF]

Sensors (Basel), 2017
The measurement of the emitted electromagnetic energy in the UHF region of the spectrum allows the detection of partial discharges and, thus, the on-line monitoring of the condition of the insulation of electrical equipment.
Boya C, Robles G, Parrado-Hernández E, Ruiz-Llata M.   +3 more
europepmc   +2 more sources

Remote diffuse reflectance spectroscopy sensor for tissue engineering monitoring based on blind signal separation. [PDF]

Biomed Opt Express, 2014
In this study the first results on evaluation and assessment of grafted bioengineered skin substitutes using an optical Diffuse Reflectance Spectroscopy (DRS) system with a remote optical probe are shown.
Martín-Mateos P, Crespo-Garcia S, Ruiz-Llata M, Lopez-Fernandez JR, Jorcano JL, Del Rio M, Larcher F, Acedo P.   +7 more
europepmc   +2 more sources

Analytical method for blind binary signal separation

Proceedings of 13th International Conference on Digital Signal Processing, 1997
The blind separation of multiple co-channel binary digital signals using an antenna array involves finding a factorization of a data matrix X into X=AS, where all entries of S are +1 or -1. It is shown that this problem can be solved exactly and non-iteratively, via a certain generalized eigenvalue decomposition.
A. van Veen
openaire   +8 more sources

On a Real-Time Blind Signal Separation Noise Reduction System

International Journal of Reconfigurable Computing, 2018
Blind signal separation has been studied extensively in order to tackle the cocktail party problem. It explores spatial diversity of the received mixtures of sources by different sensors. By using the kurtosis measure, it is possible to select the source
Ka Fai Cedric Yiu, Siow Yong Low
doaj   +2 more sources

An Anti-Mainlobe Suppression Jamming Method Based on Improved Blind Source Separation Using Variational Mode Decomposition and Wavelet Packet Decomposition [PDF]

Sensors
Mainlobe suppression jamming significantly degrades radar detection performance. The conventional blind source separation (BSS) algorithms often fail under high-jamming-to-signal-ratio (JSR) and low-signal-to-noise-ratio (SNR) conditions.
Ruike Li, Huafeng He, Xiang Liu, Liyuan Wang, Yongquan You, Zhen Li, Xiaofei Han   +6 more
doaj   +2 more sources

Graph Signal Processing Meets Blind Source Separation [PDF]

IEEE Transactions on Signal Processing, 2021
In graph signal processing (GSP), prior information on the dependencies in the signal is collected in a graph which is then used when processing or analyzing the signal. Blind source separation (BSS) techniques have been developed and analyzed in different domains, but for graph signals the research on BSS is still in its infancy.
Nitzan, Eyal, Vorobyov, Sergiy A., Ollila, Esa, Miettinen, Jari   +4 more
openaire   +5 more sources

Single-Channel Blind Source Separation of Spatial Aliasing Signal Based on Stacked-LSTM

Sensors, 2021
Aiming at the problem of insufficient separation accuracy of aliased signals in space Internet satellite-ground communication scenarios, a stacked long short-term memory network (Stacked-LSTM) separation method based on deep learning is proposed.
Mengchen Zhao, Xiujuan Yao, Jing Wang, Yi Yan, Xiang Gao, Yanan Fan   +5 more
doaj   +2 more sources

Blind Signal Separation Methods for InSAR: The Potential to Automatically Detect and Monitor Signals of Volcanic Deformation

Journal of Geophysical Research: Solid Earth, 2018
There are some 1,500 volcanoes with the potential to erupt, but most are not instrumentally monitored. However, routine acquisition by the Sentinel‐1 satellites now fulfils the requirements needed for interferometric synthetic aperture radar (InSAR) to ...
M. Gaddes, A. Hooper, M. Bagnardi, H. Inman, F. Albino   +4 more
semanticscholar   +2 more sources

Blind signal separation: statistical principles

Proceedings of the IEEE, 1998
Blind signal separation (BSS) and independent component analysis (ICA) are emerging techniques of array processing and data analysis that aim to recover unobserved signals or "sources" from observed mixtures (typically, the output of an array of sensors), exploiting only the assumption of mutual independence between the signals.
J. Cardoso
openaire   +3 more sources