Compressive Sensing for the Photonic Mixer Device

Lieferzeit: Lieferbar innerhalb 14 Tagen

96,29 

Fundamentals, Methods and Results

ISBN: 3658180560
ISBN 13: 9783658180560
Autor: Heredia Conde, Miguel
Verlag: Springer Vieweg
Umfang: xxxiii, 496 S., 87 s/w Illustr., 10 farbige Illustr., 496 p. 97 illus., 10 illus. in color.
Erscheinungsdatum: 26.04.2017
Auflage: 1/2017
Produktform: Kartoniert
Einband: Kartoniert

Miguel Heredia Conde aims at finding novel ways to fit the valuable mathematical results of the Compressive Sensing (CS) theory to the specific case of the Photonic Mixer Device (PMD).To this end, methods are presented that take profit of the sparsity of the signals gathered by PMD sensors. In his research, the author reveals that CS enables outstanding tradeoffs between sensing effort and depth error reduction or resolution enhancement.Contents PhaseShiftBased TimeofFlight Imaging Systems Fundamentals of Compressive Sensing High Resolution Characterization of PMD Pixels Compressive Sensing in Spatial and TimeFrequency Domains CSPMD: A Compressive Sensing ToF Camera based on the Photonic Mixer Device Target Groups< – Lecturers and students of computer science, electronic engineering and robotics Researchers and trainees working in application areas where depth sensing is required The Author Dr. Miguel Heredia Conde studied industrial engineering with specialization in automation and electronics at the University of Vigo, Spain. He defended his PhD thesis in engineering at the University of Siegen, Faculty of Science and Technology, Germany. There, he is currently head of the research group on compressive sensing for time-of-flight sensors at the Center for Sensor Systems (ZESS).

Artikelnummer: 2193869 Kategorie:

Beschreibung

Miguel Heredia Conde aims at finding novel ways to fit the valuable mathematical results of the Compressive Sensing (CS) theory to the specific case of the Photonic Mixer Device (PMD).To this end, methods are presented that take profit of the sparsity of the signals gathered by PMD sensors. In his research, the author reveals that CS enables outstanding tradeoffs between sensing effort and depth error reduction or resolution enhancement.

Autorenporträt

Dr. Miguel Heredia Conde studied industrial engineering with specialization in automation and electronics at the University of Vigo, Spain. He defended his PhD thesis in engineering at the University of Siegen, Faculty of Science and Technology, Germany. There, he is currently head of the research group on compressive sensing for time-of-flight sensors at the Center for Sensor Systems (ZESS).

Herstellerkennzeichnung:


Springer Vieweg in Springer Science + Business Media
Abraham-Lincoln-Straße 46
65189 Wiesbaden
DE

E-Mail: juergen.hartmann@springer.com

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