Compressive Sensing for the Photonic Mixer Device Fundamentals, Methods and Results /

• Main Author: Heredia Conde, Miguel (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2017.
• Subjects: Computer science.; Data structures (Computer science).; Computer graphics.; Applied mathematics.; Engineering mathematics.; Computer Science.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Data Structures, Cryptology and Information Theory.; Appl.Mathematics/Computational Methods of Engineering.

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 r...

Table of Contents:

• Phase-Shift-Based Time-of-Flight Imaging Systems
• Fundamentals of Compressive Sensing
• High Resolution Characterization of PMD Pixels
• Compressive Sensing in Spatial and Time-Frequency Domains
• CS-PMD: A Compressive Sensing ToF Camera based on the Photonic Mixer Device.