A Lowpower Architecture For Integrating Analogtodigital Converters

• doi: 10.1109/ICECS.2009.5410905
• title: A low-power architecture for integrating analog-to-digital converters
• publisher: IEEE
• isbn: 978-1-4244-5091-6
• issn:
• partnum: 09EX4005
• rank: 1157
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper reports on a modified architecture for single-slope integrating analog-to-digital converter (ADC) for use in image sensors and biomedical or any other applications where the value of the input analog signal has small and slow variations. In this architecture, instead of digitizing every new analog sample independently, the difference of the new sample with the previous sample is digitized. This idea will therefore considerably reduce the power consumption of the ADC. In order to illustrate the effectiveness of the proposed idea, an 8- bit, 4 kS/s ADC is designed and simulated in a 0.18 ¿m CMOS technology. The proposed ADC is very power efficient when the input signal is very slow and has a small variation in voltage amplitude. Simulations confirm that the proposed ADC architecture shows more than 80% power saving compared to conventional architecture for an input signal amplitude of 0.2VFS.
• article_number: 5410905
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5410905
• html_url: https://ieeexplore.ieee.org/document/5410905/
• abstract_url: https://ieeexplore.ieee.org/document/5410905/
• publication_title: 2009 16th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2009)
• conference_location: Yasmine Hammamet, Tunisia
• conference_dates: 13-16 Dec. 2009
• publication_number: 5403223
• is_number: 5410749
• publication_year: 2009
• publication_date: 13-16 Dec. 2009
• start_page: 411
• end_page: 414
• citing_paper_count: 3
• citing_patent_count: 0
• download_count: 358
• insert_date: 20100217
• index_terms:
  • ieee_terms:
    • Analog-digital conversion
    • Voltage
    • Energy consumption
    • Counting circuits
    • Image sensors
    • CMOS technology
    • Circuit simulation
    • Timing
    • Circuit synthesis
    • Dynamic range
  • dynamic_index_terms:
    • Power Consumption
    • Input Signal
    • Image Sensor
    • Camera Sensor
    • Light Intensity
    • Values Of Samples
    • Sources Of Error
    • Current Source
    • Current Regulations
    • Image Information
    • Input Voltage
    • Sine Wave
    • Rest Time
    • Adjacent Pixels
    • Considerable Power
    • Output Impedance
    • Output Resistance
    • Offset Voltage
    • Biomedical Signals
• isbn_formats:
  • format: CD, value: 978-1-4244-5091-6, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-5090-9, isbnType: New-2005
• authors:
  • Author Name: Ehsan Rahiminejad
    Affiliation: Integrated Systems Laboratory, EE Department, Ferdowsi University of Mashhad, Mashhad, Iran
    Author URL: https://ieeexplore.ieee.org/author/37400061700
    ID: 37400061700
    Order: 1
    Author Affiliations:
    • Integrated Systems Laboratory, EE Department, Ferdowsi University of Mashhad, Mashhad, Iran
  • Author Name: Reza Lotfi
    Affiliation: Integrated Systems Laboratory, EE Department, Ferdowsi University of Mashhad, Mashhad, Iran
    Author URL: https://ieeexplore.ieee.org/author/37270066800
    ID: 37270066800
    Order: 2
    Author Affiliations:
    • Integrated Systems Laboratory, EE Department, Ferdowsi University of Mashhad, Mashhad, Iran

Image Sensor

• sensor_type: CMOS
• resolution: Not specified
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• signal_to_noise_ratio: 42dB
• power_consumption: 16 µW

Applications & Benefits

• cell_imaging: Applicable for biomedical signal digitization in image sensors.
• benefits: Power consumption is significantly reduced for slow and small variations in input signals.

Supporting Organizations

• supported_by: Ferdowsi University of Mashhad

Manuscript Details

• publication_date: 13-16 Dec. 2009

Relevancy Score

• score: 8
• missing_fields:
  • pixel size
  • fill factor
  • quantum efficiency
  • dark current
  • focal length
  • aperture
  • field of view
  • distortion
  • frame rate
  • sensitivity
  • shutter speed
  • noise

Processed JSON Filename

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