XiaoyangShen / SparseGPRLinks
Implementation of Standard Gaussian Process Regression(GPR) and Sparse GPR in Matlab.
☆13Updated 7 years ago
Alternatives and similar repositories for SparseGPR
Users that are interested in SparseGPR are comparing it to the libraries listed below
Sorting:
- Gaussian Process Regression using GPML toolbox☆35Updated 5 years ago
- MCMC simulation using Gibbs sampling.☆13Updated 3 years ago
- MATLAB code designed to invert tandem aerosol measurements to find two-dimensional size distributions (e.g., CPMA-DMA following Sipkens e…☆8Updated 7 months ago
- Scalable sparse Bayesian learning for large CS recovery problems☆27Updated 3 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆73Updated 4 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆71Updated 8 years ago
- MCMC, Differential Evolution Markov Chain, Ensemble Kalman filter, Approximate Bayesian Computing-Population Monte Carlo, and modeling av…☆36Updated 10 years ago
- Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…☆39Updated 7 years ago
- The GitHub repository for the paper "A method for magnetotelluric data processing based on sparsity adaptive stage-wise orthogonal matchi…☆10Updated 2 years ago
- Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.☆28Updated 7 years ago
- MATLAB implementation of standard particle filter, auxiliary particle filter, mixture particle filter, and out-of-sequence particle filte…☆36Updated 5 years ago
- Bayesian Compressive Sensing and Multi-task Compressive Sensing☆88Updated 9 years ago
- Algorithm: adaptive kalman filter, variational bayesian approximation, unknown process noise covariance.☆27Updated 3 years ago
- This is a very simple denoising code for seismic data. It contains two different basic thresholding functions and works in continuous wav…☆20Updated 6 years ago
- ☆31Updated last year
- A fast sparse Bayesian learning algorithm based on gaussian scale mixture model for regression problem☆37Updated 3 years ago
- Matlab code used to produce the results in the commentary on "Application of the variable projection scheme for frequency-domain full-wav…☆10Updated 8 years ago
- RIME A physics based optimization algorithm, Neurocomputing, 2023 https://doi.org/10.1016/j.neucom.2023.02.010, This paper proposes an ef…☆16Updated 10 months ago
- Compressive Sensing using Sparse Dictionary Learning☆39Updated 6 years ago
- Gaussian process regression algorithms for nonlinear system state prediciton☆13Updated 9 years ago
- Gaussian Processes regression with gaussian kernel implementation.☆26Updated 10 years ago
- <Robust Adaptive Filtering based on M-estimation-based Minimum Error Entropy Criterion> (code)☆13Updated last year
- Reproduction and arrangement of GPR clutter removal☆13Updated last year
- MATLAB code for the implementation of the Synchrosqueezed chirplet transforms with some examples.☆20Updated 5 months ago
- Matlab Inversion Collection, including iterative methods and global optimization methods.☆17Updated 4 years ago
- Codes related to our paper "Sparse Polynomial Chaos Expansions via D-optimal Designs and Compressed Sensing." https://www.sciencedirect.…☆20Updated 6 years ago
- This MATLAB code demonstrates the application of L1 optimization, L2 optimization, and Orthogonal Matching Pursuit (OMP) for the reconstr…☆15Updated 7 months ago
- A MATLAB implementation of the co-kriging process using the DACE toolbox☆38Updated 8 years ago
- simulation data&source code of SFCW radar using gprmax&matlab☆34Updated 2 years ago
- This project is for the paper, TEM-NLnet: A Deep Denoising Network for Transient Electromagnetic Signal with Noise Learning☆26Updated 3 years ago