A Parallel Adaptive Wavelet Processor for Realtime Pattern Recognition Applications

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$599,997.00
Award Year:
1996
Program:
SBIR
Phase:
Phase II
Contract:
n/a
Award Id:
28883
Agency Tracking Number:
28883
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
6811 Kenilworth Ave., Ste., 306, Riverdale, MD, 20737
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Dr. Srinivasan Raghavan
(301) 927-3223
Business Contact:
() -
Research Institute:
n/a
Abstract
Wavelet transforms have already proved to be very useful tools in many signal processing applications including digital audio and video compression. Although the wavelet-based representations offer more versatility in time-frequency localization than other Fourier methods, they tend to have poor localization especially near high frequencies. To eliminate this difficulty, we propose a technique for analyzing signals of time-varying characteristics using adaptive wavelet packets, which facilitates identification of arbitrarily localized spectral characteristics. For nonstationary signals that contain varying distribution of spectral energy, the analysis must adaptively select filters of different localization properties. Wavelet-packets designed through digital filter banks offer arbitrary tiling of the time-frequency domain. Herley et al. [1993] report a double-tree algorithm that combines selection for the best wavelet-packet expansion with an adaptive time-segmentation of the signal simultaneously. The system we propose here is an extension of the above algorithm together with a choice of a basis function from a library of wavelet packets. We also propose to develop the pattern recognition capabilities based on feature vectors computed from the compressed signals. A real-time prototype wavelet transform processor will be available in Phase II on an inexpensive parallel hardware called PC - CNAPS that operates as an accelerator board to a PC.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government