NASA Scientific and Technical Aerospace Reports

20060001640 General Electric Co., Schenectady, NY, USA
A VLSI Implementation of the Partial Rank Algorithm for Adaptive Signal Processing
Yassa, Fathy; Kratver, Steven G.; IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP ‘87);
Volume 1; 1987, pp. 507-510; In English; See also 20060001583; Copyright; Avail.: Other Sources
This paper presents a VLSI architecture for implementing the Partial-Rank Algorithm used in adaptive beam-forming. The
architecture depends on VLSI computational hardware for vector operations which are the main computations needed for the
algorithm. The systolic-like architecture presented is as flexible as the algorithm itself in the sense that higher order algorithms
can be implemented by adding identical hardware. The implementation is shown to be extendable from an LMS algorithm to
a full matrix algorithm.
Author
Architecture (Computers); Very Large Scale Integration; Algorithms
20060001652 Massachusetts Inst. of Tech., Lexington, MA, USA
Spatial and Temporal Analysis of Weather Radar Reflectivity Images
Merritt, Mark W.; IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP ‘87); Volume 1; 1987,
pp. 14.15.1 - 14.15.4; In English; See also 20060001583; Copyright; Avail.: Other Sources
This paper illustrates the use of a primitive symbolic description of an image to obtain more robust identification of
amorphous objects than would be possible with more conventional edge or gradient-based segmentation techniques. An
algorithm is described which uses a simple multi-level thresholding operation to form a symbolic representation of weather
radar reflectivity images. This representation allows the use of detailed rules for the detection and quantification of the image
features. A method is described for using this information to identify significant intensity peaks in an image, and examples
of its performance are shown.
Author
Spatial Distribution; Reflectance; Radar Imagery
20060001653 Harbin Engineering Inst., Harbin, China
The Automatic Classification of the Welding Defects
Su-xian, Chen; Li, Xiao-song; IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP ‘87);
Volume 1; 1987; See also 20060001583; Copyright; Avail.: Other Sources
The theory of digital image processing and pattern recognition was used to slove the problem of identifying the welding
defects automatically in this paper. Author implemented restraining noise enhancing and two valuizing on the original welding
X-ray picture. Feature extraction and the design of the classifier was also implemented.
Author
Welding; Defects; Image Processing; Classifications
20060001671 California Univ., Berkeley, CA, USA
A Parameterized VLSI Video-Rate Histogram Processor
Richards, Brian; Sherstinsky, Alex; Brodersen, Robert W.; IEEE International Conference on Acoustics, Speech, and Signal
Processing (ICASSP ‘87); Volume 1; 1987, pp. 13.5.1 - 13.5.4; In English; See also 20060001583; Copyright; Avail.:
Other Sources
A real-time video rate histogram processor has been designed, fabricated and tested. A pipelined architecture was chosen
to support 10 MHz sample rates. The architecture then implemented using high-level CAD tools to automate the design.
Finally, the fabricated processor was connected to a second chip which implements a programmable look-up table function,
to demonstrate real-time histogram equalization of 10 MHz video data.
Author
Parameterization; Very Large Scale Integration; Histograms; Central Processing Units
20060001714 Arkansas Univ., Fayetteville, AR, USA
A Concavity Based Algorithm for the Recognition of Partially Occluded 3-Dimensional Objects
Miller, B. K.; Jones, R. A.; IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP ‘87); Volume
1; 1987, pp. 7.15.1-7.15.4; In English; See also 20060001583
Contract(s)/Grant(s): 84-0322; Copyright; Avail.: Other Sources
A new method for viewer independent recognition of occluded, complex 3-dimensional objects, independent of rotation,
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