NDLI: Learning Sparse Representation Using Iterative Subspace Identification

Content Provider	IEEE Xplore Digital Library
Author	Gowreesunker, B.V. Tewfik, A.H.
Copyright Year	1991
Abstract	In this paper, we introduce the iterative subspace identification (ISI) algorithm for learning subspaces in which the data may live. Our subspace identification method differs from currently available method in its ability to infer the dimension of the subspaces from the data without prior knowledge. The learned subspaces can be combined to produce a data driven overcomplete dictionary with good sparseness and generalizability qualities, or can be directly exploited in applications where block sparseness is needed. We describe the ISI algorithm and a complementary optimization method. We demonstrate the ability of the proposed method to produce sparse representations comparable to those achieved with the K-SVD algorithm, but with less than one eighth the training time. Furthermore, the computation savings allows us to develop a shift-tolerant training procedure. We also illustrate its benefits in underdetermined blind source separation of audio, where performance is directly impacted by the sparseness of the representation.
Sponsorship	IEEE Signal Processing Society
Starting Page	3055
Ending Page	3065
Page Count	11
File Size	727930
File Format	PDF
ISSN	1053587X
Volume Number	58
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dictionaries Biomedical signal processing Signal processing Blind source separation Intersymbol interference Iterative algorithms Biomedical computing Optimization methods Compressed sensing Algorithm design and analysis sparse representation Block sparseness dictionary training iterative subspace identification overcomplete dictionary design shift-tolerance
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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