MEMS-Based Diagnostics for Turbulent Shear Flows.

Abstract

The objective of this section of the research is to develop hardware for fast processing of charge coupled display (CCD) images. This hardware will take digital CCD output and process it at the same output data rate of the CCD. The result is processed images at the maximum rate possible with a CCD camera. In particular, the hardware will perform convolutions of the input images with a digitally stored convolution kernal matrix, such as are needed for image spatial filtering and neural networks. A hardware test chip has been completed, characterized, and has been used to process images. This chip does not contain the digital front end necessary to connect directly to a CCD data stream but does demonstrate all of the critical analog components of the image processor. The test chip will be integrated with a shift register in a later chip fabrication to produce a fully functional image processor chip capable of connection to the data stream directly output from a CCD or similar row-wise serial output imaging device.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1997
Accession Number
ADA326143

Entities

People

  • Ari Glezer
  • Mark G. Allen
  • Martin Brooke

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Convolution
  • Data Rate
  • Fabrication
  • Filtration
  • Flow
  • Networks
  • Neural Networks
  • Shear Flow
  • Shift Registers
  • Signal Processing
  • Spatial Filtering

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Integrated Circuit Design and Technology.
  • Parallel and Distributed Computing.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks