Adaptive Compression of Telemetry Data using Application Specific Dictionaries

Award Information
Agency:
Department of Defense
Amount:
$149,935.00
Program:
SBIR
Contract:
HQ0147-13-C-7381
Solitcitation Year:
2012
Solicitation Number:
2012.2
Branch:
Missile Defense Agency
Award Year:
2013
Phase:
Phase I
Agency Tracking Number:
B122-012-0431
Solicitation Topic Code:
MDA12-012
Small Business Information
Vadum
601 Hutton St, Suite 109, Raleigh, NC, -
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
148551653
Principal Investigator
 Francois Malassenet
 Principal Engineer
 (919) 341-8241
 Francois.Malassenet@vaduminc.com
Business Contact
 Gary Edge
Title: Chief Executive Officer
Phone: (919) 341-8241
Email: gary.edge@vaduminc.com
Research Institution
 Stub
Abstract
Vadum proposes to create a novel telemetry data compression/decompression system, SCoCD (Sparse Compression on Complete Dictionaries) with very low latency, very high compression rate, and very low distortion. The system will allow lossless compression, and can be tuned for each type of data stream with particular emphasis on imagery. Vadum has demonstrated x59 compression of Aegis test-fire imagery, with a peak SNR of 45 dB, in less than 0.02 seconds computation time with a slow, high-level language implementation. Classical compression techniques achieve low-latency, high-compression rate constraints but fail to achieve low distortion constraint, particularly for imagery. Hardware-accelerated solutions may achieve low latency and low distortion, but lack compression performance when applied to video or images. None of the classic techniques can compress already encrypted data. SCoCD will fill the technology gap by integrating the latest advances of Compressive Sensing and Dictionary Learning.

* information listed above is at the time of submission.

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