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Found 6 papers, 2 papers with code
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting
Implementations of both an approximate dynamic programming formulation and the proposed alternative are illustrated using an extended Kalman filter for state estimation, with results on simulated systems with limit cycles and chaotic behavior demonstrating a linear improvement in the CRLB as a function of the number of collapsing dimensions of the system.
Low SNR Multiframe Registration for Cubesats
We present a registration algorithm which jointly estimates motion and the ground truth image from a set of noisy frames under rigid, constant translation.
Spatial-temporal switching estimators for imaging locally concentrated dynamics
The evolution of images with physics-based dynamics is often spatially localized and nonlinear.
Quantification of mismatch error in randomly switching linear state-space models
One can use these derivations to quantify the average performance of filters beforehand and decide which filter to run in operation to have the best performance in terms of estimation error and computation complexity.
Efficient model selection in switching linear dynamic systems by graph clustering
The computation required for a switching Kalman Filter (SKF) increases exponentially with the number of system operation modes.
High-resolution Multi-spectral Imaging with Diffractive Lenses and Learned Reconstruction
Spectral imaging is a fundamental diagnostic technique with widespread application.
Rolling Shutter Correction
Vocal Bursts Intensity Prediction
