M-Band Acoustic Data Compression

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$599,059.00
Award Year:
1997
Program:
SBIR
Phase:
Phase II
Contract:
n/a
Award Id:
27836
Agency Tracking Number:
27836
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
One Oak Park, Cambridge, MA, 02142
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Stephen P. Del Marco
(617) 577-1700
Business Contact:
() -
Research Institution:
n/a
Abstract
Prototype, wavelet-based lossy compression algorithms will be developed, for compression of both transient and narrowband sonar signals. An appropriate wavelet-related signal energy into the transform will be designed, with the goal of optimally concentrating 1 fewest number of coefficients. Standard 2-band wavelets will be examined, as well as M-band wavelets (M>2), wavelet-packets, and general perfect reconstruction multirate filterbanks. The family of Aware-developed translation-invariant wavelet transforms will also be examined as a possibility. A bit allocation strategy will be developed, tuned to the particular characteristics of the sonar data to be compressed. Standard entropy coding will be implemented to reduce the remaining redundancy. Zero-run length, and Huffman coding will be implemented. A compression/decompression performance analysis will be performed, to determine the bandwidth savings provided by the compression algorithm. The effects of lossy compression on data quality will also be investigated. Distortions introduced by compression will be evaluated both quantitatively and subjectively. Computational algorithm complexity will be explored, and potential processing bottlenecks will be identified. A final report will be written, documenting the compression algorithm and detailing numerical results of the performance analysis.

* information listed above is at the time of submission.

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