Search Results for author:
Found 3 papers, 0 papers with code
Unsupervised linear component analysis for a class of probability mixture models
We deal with a model where a set of observations is obtained by a linear superposition of unknown components called sources.
Sparse Signal Reconstruction for Nonlinear Models via Piecewise Rational Optimization
We propose a method to reconstruct sparse signals degraded by a nonlinear distortion and acquired at a limited sampling rate.
Modeling Electrical Motor Dynamics using Encoder-Decoder with Recurrent Skip Connection
In this paper, we explore the feasibility of modeling the dynamics of an electrical motor by following a data-driven approach, which uses only its inputs and outputs and does not make any assumption on its internal behaviour.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
