A Fully Programmable Cmos Block Matrix Transform Imager Architecture
- doi: 10.1109/CICC.2003.1249388
-
title: A fully programmable CMOS block matrix transform
imager architecture
- publisher: IEEE
- isbn: 0-7803-7842-3
- issn:
- partnum: 03CH37448
- rank: 1064
- access_type: LOCKED
- content_type: Conferences
-
abstract: In this paper, we introduce our CMOS block
matrix transform imager architecture (MATIA). This imager is capable of
performing programmable matrix operations on an image. The imager
architecture is both modular and programmable. The pixel used in this
architecture performs matrix multiplication while maintaining a high
fill-factor (46%), comparable to active pixel sensors. Floating gates
are used to store the arbitrary matrix coefficients on-chip. The chip
operates in the subthreshold domain and thus has low power consumption
(0.23 mW).
- article_number: 1249388
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1249388
-
html_url:
https://ieeexplore.ieee.org/document/1249388/
-
abstract_url:
https://ieeexplore.ieee.org/document/1249388/
-
publication_title: Proceedings of the IEEE 2003 Custom
Integrated Circuits Conference, 2003.
- conference_location: San Jose, CA, USA
- conference_dates: 24-24 Sept. 2003
- publication_number: 8830
- is_number: 27953
- publication_year: 2003
- publication_date: 24-24 Sept. 2003
- start_page: 189
- end_page: 192
- citing_paper_count: 6
- citing_patent_count: 1
- download_count: 106
- insert_date: 20031203
-
index_terms:
-
ieee_terms:
- Computer architecture
- Circuits
- CMOS image sensors
- CMOS process
- Biology computing
- Voltage
- CMOS technology
- Space technology
- Electrons
- Energy consumption
-
dynamic_index_terms:
- Transformation Matrix
- Transformation Matrices
- Coefficient Matrix
- Coefficient Matrices
- Matrix Multiplication
- Multiple Matrices
- Matrix-vector Multiplication
- Multiple Matrix
- Projection Matrix
- Matrix Operations
- Projection Matrices
- High Fill Factor
- Sensor Pixel
- Waveform
- Low-pass
- Low-pass Filter
- Voltage-gated
- Gate Voltage
- Operation Mode
- Processing Unit
- Focal Plane
- Back Focal Plane
- Large Array
- Motion Estimation
- Control Circuit
- Hot Electrons
- Hot Carriers
- Array Images
- Array Tomography
- Pixel Array
- Peripheral Circuits
- Differential Pair
- Current Mirror
- Standard CMOS
-
isbn_formats:
-
format: Print ISBN,
value: 0-7803-7842-3,
isbnType: Historical
-
authors:
-
Author Name: A. Bandyopadhyay
Affiliation: School of Electrical and Computer
Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Author URL:
https://ieeexplore.ieee.org/author/37266813600
ID: 37266813600
Order: 1
Author Affiliations:
-
School of Electrical and Computer Engineering, Georgia Institute
of Technology, Atlanta, GA, USA
-
Author Name: P. Hasler
Affiliation: School of Electrical and Computer
Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Author URL:
https://ieeexplore.ieee.org/author/37270054200
ID: 37270054200
Order: 2
Author Affiliations:
-
School of Electrical and Computer Engineering, Georgia Institute
of Technology, Atlanta, GA, USA
Image Sensor
- sensor_type: CMOS
- resolution: 128x128
- dynamic_range: Not specified
- pixel_size: 13.5x13.5
- dark_current: Not specified
Optical Data
- focal_length: Not specified
- aperture: Not specified
- field_of_view: Not specified
- distortion: Not specified
Performance Metrics
- power_consumption: 0.23mW
Applications & Benefits
-
cell_imaging: Applications in machine vision and
biological modelling, compatible with depth computation, motion
estimation, spatial and temporal filtering.
-
benefits: Programmable block matrix operations, on-chip
processing, high fill-factor pixels.
Supporting Organizations
-
supported_by: Georgia Institute of Technology, Atlanta,
Georgia
Manuscript Details
- publication_date: 24-24 Sept. 2003
Relevancy Score
- score: 9
-
missing_fields:
- dynamic_range
- dark_current
- focal_length
- aperture
- field_of_view
- distortion
- frame_rate
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- noise
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