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Ultra Low Noise CMOS Image Sensors [Hardcover]

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  • Category: Books (Technology & Engineering)
  • Author:  Boukhayma, Assim
  • Author:  Boukhayma, Assim
  • ISBN-10:  3319687735
  • ISBN-10:  3319687735
  • ISBN-13:  9783319687735
  • ISBN-13:  9783319687735
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Apr-2017
  • Pub Date:  01-Apr-2017
  • SKU:  3319687735-11-SPRI
  • SKU:  3319687735-11-SPRI
  • Item ID: 100933613
  • List Price: $159.99
  • Seller: ShopSpell
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This thesis provides a thorough noise analysis for conventional CIS readout chains, while also presenting and discussing a variety of noise reduction techniques that allow the read noise in standard processes to be optimized. Two physical implementations featuring sub-0.5-electron RMS are subsequently presented to verify the proposed noise reduction techniques and provide a full characterization of a VGA imager. Based on the verified noise calculation, the impact of the technology downscaling on the input-referred noise is also studied.

Further, the thesis covers THz CMOS image sensors and presents an original design that achieves ultra-low-noise performance. Last but not least, it provides a comprehensive review of CMOS image sensors.

Introduction.- Low-Noise CMOS Image Sensors.- Noise Sources and Mechanisms in CIS.- Detailed Noise Analysis in Low-Noise CMOS Image Sensors.- Noise Reduction in CIS Readout Chains.- Design of a Sub-electron Readout Noise Pixel in a Standard CIS Process.- Characterization of a Sub-electron Readout Noise VGA Imager in a Standard CIS Process.- A Passive Switched-Capacitor Circuit For Correlated Multiple Sampling.- Downscaling Effects Towards Photon Counting Capability in CIS.- An Ultra Low Noise CMOS THz Imager.- Conclusion.

This thesis provides a thorough noise analysis for conventional CIS readout chains, while also presenting and discussing a variety of noise reduction techniques that allow the read noise in standard processes to be optimized. Two physical implementations featuring sub-0.5-electron RMS are subsequently presented to verify the proposed noise reduction techniques and provide a full characterization of a VGA imager. Based on the verified noise calculation, the impact of the technology downscaling on the input-referred noise is also studied.

Further, the thesis covers THz CMOS image sensors and presents an original design that achieves ullc0

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