Reliable and Explainable Data-driven Methods for ELINT Signal Detection/Classification
This grant opportunity focuses on developing data-driven signal processing methods for Electronic Intelligence (ELINT) that are reliable and easy to interpret across various scenarios. In Phase I, applicants are expected to propose methods trainable with realistic data and demonstrate their effectiveness using synthetic datasets. They should compare performance against baseline approaches usin…
To develop data-driven signal processing methods that produce reliable results in a wide variety of ELINT scenarios and whose operation is easily interpretable. This methodology will be used to produce robust algorithms that are designed from training data and whose assumptions for good performa…
Funding Source
Dates
Supporting links
Secure Grant Funding 10x Faster
Scout delivers AI-powered grant writing paired with experts that's faster, more affordable, and built to win.
Already have an account? Sign In
Trusted by 500+ Happy Customers