New Spatially Constrained Source Separation using Tensor Decomposition

S Kouchaki; S Sanei

Back

Journal article

New Spatially Constrained Source Separation using Tensor Decomposition

S Kouchaki and S Sanei

2013 18TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP)

01/01/2013

Abstract

Science & Technology

Technology

Computer Science

Theory & Methods

Engineering

Electrical & Electronic

Computer Science

Engineering

Common spatial patterns

PARAFAC

partially constrained

source separation

spatial filtering

ALGORITHM

EEG

Files and links (1)

url

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000343676800153&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11d2a86992e85fb529977dad66a846d5View

Author

Metrics

22 Record Views

Details

Title: New Spatially Constrained Source Separation using Tensor Decomposition
Creators: S Kouchaki
S Sanei
Publication Details: 2013 18TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP)
Publisher: IEEE
Date published: 01/01/2013
Date submitted: 17/05/2017
Identifiers: 99512921302346
Academic Unit: University of Surrey
Language: English
Resource Type: Journal article

New Spatially Constrained Source Separation using Tensor Decomposition

Abstract

Files and links (1)

Metrics

Details

Usage Policy