Compressed sensing: a universal energy-efficient compression scheme for biosignals on wireless body sensor nodes
2014
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Details
Title
Compressed sensing: a universal energy-efficient compression scheme for biosignals on wireless body sensor nodes
Author(s)
Mamaghanian, Hossein
Advisor(s)
Date
2014
Publisher
Lausanne, EPFL
Keywords
compressed sensing; compressive sensing; sparse recovery; sparse representation; rmpi; srmpi; analog compressed sensing; low-power analog to information devices; wireless body sensor network; compressible; compression; convex optimization; biomedical Signal; electrocardiogram; robust compressed sensing; voltage scaling; in-exactness; erroneous memories
Language
English
Other identifier(s)
urn: urn:nbn:ch:bel-epfl-thesis6340-9
Laboratories
ESL
Record Appears in
Scientific production and competences > STI - School of Engineering > IEM - Institut d'Electricité et de Microtechnique > ESL - Embedded Systems Laboratory
Scientific production and competences > EPFL Theses
Work produced at EPFL
Published
Theses
Scientific production and competences > EPFL Theses
Work produced at EPFL
Published
Theses
Record creation date
2014-08-25