Retrieving Sparse Patterns Using a Compressed Sensing Framework: Applications to Speech Coding Based on Sparse Linear Prediction

Encouraged by the promising application of compressed sensing in signal compression, we investigate its formulation and application in the context of speech coding based on sparse linear prediction. In particular, a compressed sensing method can be devised to compute a sparse approximation of speech...

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Veröffentlicht in:	IEEE signal processing letters 2010-01, Vol.17 (1), p.103-106
Hauptverfasser:	Giacobello, D., Christensen, M.G., Murthi, M.N., Jensen, S.H., Moonen, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Compressed sensing Compressive sampling Encoding Inverse problems Linear predictive coding Predictive coding Predictive models Sampling methods sparse approximation Speech analysis Speech coding Statistics
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