Title page for etd-0729118-132437


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URN etd-0729118-132437
Author Yan-Lin Chen
Author's Email Address No Public.
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Department Computer Science and Engineering
Year 2018
Semester 1
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title A Low Power 10-bit Dual-Mode Successive Approximation Register Analog to Digital Converter with the Image Correction Ability for the CMOS Image Sensor
Date of Defense 2018-08-23
Page Count 55
Keyword
  • Dual-Mode
  • Edge Image
  • Image Sensor
  • Analog to Digital Converter
  • Successive Approximation Register
  • Abstract In this thesis, a 10-bit, 10 MS/s dual-mode analog-to-digital converter with a 1.8 V supply voltage is implemented by using the TSMC 0.18m process technology. This circuit primary is implemented for the CMOS Image Sensor.
    In the circuit design, the input source of the analog-to-digital converter is determined by the output of the correlated double sampling or programmable gain amplifier, and both inputs are already sampled. Hence, it is different from the other analog digital converters. The sample and hold circuits can be not required in this cirucit. In combing with the fine step SAR and the coarse step single-slope modes, the edge images can be generated to adjust the sharpness of the image. By using 7 cycles in the capacitance switchig, the 10-bit conversion can effectively reduce the power consumption and increase the conversion efficiency. Because the input has two different signals to be chosen, this circuit also provides two modes of high resolution and low resolution. In the low resolution mode, the shortend and unused circuits also can reduce the power consumption.
    In this thesis, a 10-bit, 10 MS/s analog-to-digital converter with a 1.8 V supply voltage is implemented by using the TSMC 0.18 m process technology. The INL and DNL need to be less than 1 and the power consumption should be less than 3mW.
    Advisory Committee
  • Shiann-Rong Kuang - chair
  • Xin-Yu Shih - co-chair
  • Ko-Chi Kuo - advisor
  • Files
  • etd-0729118-132437.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2018-08-29

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