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IN-DEPTH ENGINEERING CORPORATION SBIR Phase I Award, October 2018

A SBIR Phase I contract was awarded to IN-DEPTH ENGINEERING CORPORATION in October, 2018 for $124,994.0 USD from the U.S. Department of Defense and United States Navy.

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sbir.gov/node/1846185
Is a
SBIR/STTR Awards
SBIR/STTR Awards

SBIR/STTR Award attributes

SBIR/STTR Award Recipient
IN-DEPTH ENGINEERING CORPORATION
IN-DEPTH ENGINEERING CORPORATION
0
Government Agency
U.S. Department of Defense
U.S. Department of Defense
0
Government Branch
United States Navy
United States Navy
0
Award Type
SBIR0
Contract Number (US Government)
N68335-19-C-00340
Award Phase
Phase I0
Award Amount (USD)
124,9940
Date Awarded
October 19, 2018
0
End Date
February 20, 2020
0
Abstract

Coordinated Anti-Submarine Warfare (ASW) tactical operations frequently hinge upon the ability of our airborne assets to detect, classify, localize and prosecute enemy submarines who possess formidable offensive and defensive capabilities. This is becoming increasingly difficult as enemy assets get quieter and the acoustic environment becomes increasingly crowded. The Navy’s airborne ASW passive and active sensor systems must contend with friendly sonar system interference, non-cooperative in-band signal interferers, commercial active sonar signals, environmental noise, and biologics which all contribute to unacceptable performance losses. In-Depth Engineering Corporation proposes the Cortical Location and Elimination of Acoustic Noise (CLEAN) solution – an innovative, software-only acoustic noise removal algorithm based on a model of the early stages of sound analysis that occurs in the primary auditory cortex of the brain of a mammal. The CLEAN solution is designed to isolate disparate sources of sounds in a high-dimensional representation of a noisy acoustic signal and to remove the noise, providing a “clean” version of the original signal. The CLEAN algorithm mimics the ability of mammals to tune their acoustic receptive fields in order to attend to one sound over other competing sounds.

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