SBIR/STTR Research Award

RESEARCH ON FEATURE EXTRACTION AND CLASSIFICATION FOR NONSTATIONARY AND TRANSIENT SIGNALS

Award identifier 3443aee78038243bdba94df6f3e088928f4b4c1e7292242e7be8f10f8f70d0b5Awarding agency Department of Defense · Navy

Award amount

$250,000

Program and phase

SBIR · Phase II

Award year

1989

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
Hurd H L Associates Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

THIS WORK ADDRESSES THE RECOGNITION OF TRANSIENT AND NONSTATIONARY SIGNALS BY A COLLECTION OF FEATURE EXTRACTION ALGORITHMS FOLLOWED BY LOGIC THAT COMBINES THE FEATURE ESTIMATES TO PRODUCE SIGNAL CLASSIFICATION. THE FEATURE EXTRACTION ALGORITHMS INCLUDE ESTIMATORS FOR SPECTRAL COHERENCE, A TECHNIQUE THAT ILLUMINATES THE PRESENCE OF RHYTHMIC MODULATIONS IN SIGNALS. NEURAL NETS WILL BE EXAMINED AS A METHOD FOR ENCODING SIGNAL PROCESSING FEATURES AND FOR PERFORMING THE CLASSIFICATION FUNCTION.

Technology keywords

Not reported

Agency intelligence

Department of Defense

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