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Low-Power CMOS Digital Pixel Imagers for High-Speed Uncooled PbSe IR Applications

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  • © 2017

Overview

  • Nominated as an outstanding PhD thesis by the Universitat Politècnica de Catalunya
  • Reports on significant advances in solid-state IR imaging
  • Describes a comprehensive, multidisciplinary research approach
  • Lays the foundations of PbSe-based uncooled MWIR vision

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (6 chapters)

Keywords

About this book

This book describes the development of a new low-cost medium wavelength IR (MWIR) monolithic imager technology for high-speed uncooled industrial applications. It takes the baton on the latest technological advances in the field of vapor phase deposition (VPD) PbSe-based MWIR detection accomplished by the industrial partner NIT S.L., adding fundamental knowledge on the investigation of novel VLSI analog and mixed-signal design techniques at circuit and system levels for the development of the readout integrated device attached to the detector. In order to fulfill the operational requirements of VPD PbSe, this work proposes null inter-pixel crosstalk vision sensor architectures based on a digital-only focal plane array (FPA) of configurable pixel sensors. Each digital pixel sensor (DPS) cell is equipped with fast communication modules, self-biasing, offset cancellation, analog-to-digital converter (ADC) and fixed patternnoise (FPN) correction. In-pixel power consumption is minimized by the use of comprehensive MOSFET subthreshold operation.

Authors and Affiliations

  • Centro Nacional de Microelectrónica, Institut de Microelectrònica deBarcelona Centro Nacional de Microelectrónica, Barcelona, Spain

    Josep Maria Margarit

Bibliographic Information

  • Book Title: Low-Power CMOS Digital Pixel Imagers for High-Speed Uncooled PbSe IR Applications

  • Authors: Josep Maria Margarit

  • Series Title: Springer Theses

  • DOI: https://doi.org/10.1007/978-3-319-49962-8

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Hardcover ISBN: 978-3-319-49961-1Published: 09 January 2017

  • Softcover ISBN: 978-3-319-84285-1Published: 07 July 2018

  • eBook ISBN: 978-3-319-49962-8Published: 29 December 2016

  • Series ISSN: 2190-5053

  • Series E-ISSN: 2190-5061

  • Edition Number: 1

  • Number of Pages: XXI, 173

  • Number of Illustrations: 101 b/w illustrations, 4 illustrations in colour

  • Topics: Electronics and Microelectronics, Instrumentation, Solid State Physics, Image Processing and Computer Vision

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