Adaptive Compression of Telemetry Data using Application Specific Dictionaries

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$149,935.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
HQ0147-13-C-7381
Award Id:
n/a
Agency Tracking Number:
B122-012-0431
Solicitation Year:
2012
Solicitation Topic Code:
MDA12-012
Solicitation Number:
2012.2
Small Business Information
601 Hutton St, Suite 109, Raleigh, NC, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
148551653
Principal Investigator:
Francois Malassenet
Principal Engineer
(919) 341-8241
Francois.Malassenet@vaduminc.com
Business Contact:
Gary Edge
Chief Executive Officer
(919) 341-8241
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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