Sparse Morphological Time Frequency Processing for Target Detection and Clutter Suppression
Abstract
The proposed project aims to develop new signal processing techniques for the detection and analysis of targets in the undersea environment. The project focuses on the clutter-dominated case-for which target detection is especially challenging. The project seeks to develop nonlinear methods for time-frequency analysis based on the optimization of non-differentiable sparsity-inducing objective functions.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2016
- Source ID
- N000141512314
Entities
People
- Ivan Selesnick
Organizations
- New York University
- Office of Naval Research
- United States Navy