The PLoM (Probabilistic Learning on Manifolds) software is a MATLAB-based toolbox designed to perform advanced probabilistic modeling and learning on manifolds. It is particularly useful for analyzing ...

This notebook focuses on generic matched filtering, exploring the tradeoffs between waveform design parameters and their impact on range resolution and sidelobe performance. Implements the ...

Abstract: Stochastic simulations require large amounts of time to generate enough trajectories to attain statistical significance and estimate desired performance indices with satisfactory accuracy.

Abstract: Traditionally, a continuous-wave (CW) signal is used to simulate RF circuits during the design procedure, while the fabricated circuits are measured by ...