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Wavelet-Based Approach for Signal Processing and Analysis

Award Information
Agency: Department of Defense
Branch: Office for Chemical and Biological Defense
Contract: W911SR-16-C-0011
Agency Tracking Number: C152-006-0010
Amount: $149,021.71
Phase: Phase I
Program: SBIR
Solicitation Topic Code: CBD152-006
Solicitation Number: 2015.2
Solicitation Year: 2015
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-03-04
Award End Date (Contract End Date): 2016-12-06
Small Business Information
1845 West 205th Street
Torrance, CA 90501
United States
DUNS: 153865951
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Ms. Prachee Sharma
 (310) 320-3088
Business Contact
 Mr. Gordon Drew
Phone: (310) 320-3088
Research Institution

To address CBDs need for development of analytical approaches to fuse sensor data from multiple modalities to provide common operationalpictures in threat environments, Physical Optics Corporation (POC) proposes to develop a Wavelet-based Approach for Signal Processing andAnalysis (WASP). WASP is based on novel application of wavelet-based analysis to multimodel, multidimensional data available from a widevariety of threat sensors. WASP will enable the determination of key features of the data at various levels of resolution and provide the ability tomove back and forth between higher and lower resolutions, as well as dimensions, as needed. This multiresolution approach enables multileveldecision making and incorporation of sensors providing data at different resolutions. The capability to provide data features using multiplesignature feeds and threat information with various levels of detail, which directly addresses the CBDs need for a comprehensive situationalunderstanding regarding the presence of threats in an operational environment. In Phase I, POC will demonstrate the feasibility of WASP byimplementing a TRL-4 prototype demonstration using the data generated by POC sensors. In Phase II, POC plans to further develop WASP toTRL-5/-6 by optimizing algorithms for efficiency and accuracy for eventual integration with a program of record.

* Information listed above is at the time of submission. *

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