On multiple pattern extraction using singular value decomposition

This paper presents a new concept of decomposition of a signal into component periodic waveforms. The singular value decomposition (SVD) is used for the detection of periodicity and separation of the component signals. The signal is configured for the sequential extraction of successively weaker com...

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Bibliographic Details
Published inIEEE transactions on signal processing Vol. 43; no. 6; pp. 1536 - 1540
Main Authors Kanjilal, P.P., Palit, S.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.06.1995
Institute of Electrical and Electronics Engineers
Subjects
Abdomen
Applied sciences
Costs
Electrocardiography
Electrodes
Exact sciences and technology
Information, signal and communications theory
Interference
Mathematical methods
Multi-stage noise shaping
Numerical stability
Shape
Signal processing
Singular value decomposition
Telecommunications and information theory
Waveform
Signal processing
Periodic signal
Numerical stability
Periodicity
Singular value decomposition
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Summary:This paper presents a new concept of decomposition of a signal into component periodic waveforms. The singular value decomposition (SVD) is used for the detection of periodicity and separation of the component signals. The signal is configured for the sequential extraction of successively weaker components with different period lengths. The approach enjoys the numerical stability associated with SVD.< >
ISSN:1053-587X
1941-0476
DOI:10.1109/78.388873