Orthogonal Segmented Model for Underdetermined Blind Identification and Separation of Sources with Sparse Events

B Makkiabadi; S Sanei

doi:10.1109/MLSP.2013.6661928

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Journal article

Orthogonal Segmented Model for Underdetermined Blind Identification and Separation of Sources with Sparse Events

B Makkiabadi and S Sanei

2013 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP)

01/01/2013

DOI: https://doi.org/10.1109/MLSP.2013.6661928

Abstract

Science & Technology

Technology

Computer Science

Theory & Methods

Engineering

Electrical & Electronic

Computer Science

Engineering

Underdetermined blind identification

blind source separation

k(a)-SCA sparse component analysis

tensor factorization

INDIVIDUAL-DIFFERENCES

DECOMPOSITION

MIXTURES

CANDECOMP/PARAFAC

UNIQUENESS

MATRICES

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Title: Orthogonal Segmented Model for Underdetermined Blind Identification and Separation of Sources with Sparse Events
Creators: B Makkiabadi
S Sanei
Contributors: S Sanei
P Smaragdis
A Nandi
ATS Ho
J Larsen
Publication Details: 2013 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP)
Publisher: IEEE
Date published: 01/01/2013
Date submitted: 17/05/2017
Identifiers: 99515215002346
Academic Unit: University of Surrey
Language: English
Resource Type: Journal article

Orthogonal Segmented Model for Underdetermined Blind Identification and Separation of Sources with Sparse Events

Abstract

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