Adaptive Multiplexed Wavelength and Spatial Signal Processing

Abstract

Adaptive Multiplexed Wavelength and Spatial Signal Processing was a Duke University collaboration with the Universities of Arizona and Virginia administered by the University of Illinois. The program leveraged multiplex sensor systems capable of abstracting target specific projections from the hyperspectral data cube without measuring unrelated data points designed at Duke with embedded real-time data abstraction on Spectel spectral information abstraction focal planes made at UVa and algorithms developed at Arizona. A photo-detector front-end-array chip was designed, fabricated and tested. This prototype chip has an array size of 2mm x 2mm, consisting of 34 by 34 cells, with each cell of size 50um by 50 um. Each cell is an independently functioning photo detector. All the active and passive components, including photo diodes, preamplifiers, filters and other analog/digital peripheral circuits, are integrated on this single chip of standard TSMC 0.35um process with a 3.3V supply voltage.

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Document Details

Document Type
Technical Report
Publication Date
Jan 12, 2005
Accession Number
ADA449523

Entities

People

  • David Brady
  • Mark A. Neifeld
  • Travis Blalock

Organizations

  • Duke University

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Amplifiers
  • Detection
  • Detectors
  • Diagrams
  • Digital Signal Processing
  • Dimensionality Reduction
  • Focal Planes
  • Frequency
  • Frequency Response
  • Low Pass Filters
  • Measurement
  • Models
  • Optical Detection
  • Pattern Recognition
  • Recognition
  • Signal Processing

Readers

  • Clinical Trial Research.
  • Image Processing and Computer Vision.
  • Integrated Circuit Design and Technology.