SBIR-STTR Award

Reduction of Predictable Spurs in the ADC outputs using AI
Award last edited on: 7/28/2021

Sponsored Program
STTR
Awarding Agency
DOD : Navy
Total Award Amount
$138,139
Award Phase
1
Solicitation Topic Code
N20A-T025
Principal Investigator
Michael Flynn

Company Information

Virtual EM Inc (AKA: VisualEM Corporation)

3055 Plymouth Road Suite 200
Ann Arbor, MI 48105
   (734) 222-4558
   info@virtualem.com
   www.virtualem.biz

Research Institution

University of Michigan

Phase I

Contract Number: N68335-20-C-0589
Start Date: 6/8/2020    Completed: 12/8/2020
Phase I year
2020
Phase I Amount
$138,139
An AI-based algorithm is being proposed to increase ADC linearity by 10dB. Neural Nets will be investigated in conjunction with models of spurs to accomplish the task.

Benefit:
Proposed technology will increase the performance of the military grade ADCs substantially with obvious military and civilian applications.

Keywords:
Cross Talk, Cross Talk, Harmonic Expansion, Frequency Domain Learning, Artificial Intelligence, Deterministic Phenomena, linearization, Probabilistic Comparator Behavior, Equalization Error

Phase II

Contract Number: ----------
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
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Phase II Amount
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