tianfei906 Goto Github PK

ai_eq_ground_motion

Data-driven synthesis of broadband earthquake ground motions using artificial intelligence

anisomt

Magnetotelluric modeling for anisotropic Earth

antileakage-least-squares-spectral-analysis

Analysis and model development focused on occupant behavior

auto_tanaylsis_gui

Automatic Surface Wave Two-station Dispersion Analysis (Matlab GUI)

benchmark-models-for-time-series-prediction

RELM, RKELM, RESN, RSVR

berkeleyearthsurfacetemperature

Copy of code from Berkeley Earth Surface Temperature take on 2012-06-08

bh_tomo1

A Matlab borehole radar/seismic tomography package

bm-mrst

regional geothermal flow modeling using MRST

bohe-gpr

A Matlab toolbox for sampling inverse problems with complex priors

bookinganalyzer

cm-gan-inpainting

CM-GAN for Image Inpainting

cnn-pocs

CNN-POCS algorithm for seismic data interpolation

cr1dmod

Matlab code for forward modelling of electrical and electromagnetic measurements on a 1D layered half-space

crustaniso

A package for crustal anisotropy estimation with receiver function

decomposition-with-nsct

HSI image decomposition using Non-subsampled contourlet transform (NSCT)

deep-bilstm-in-frft

deep-learning-applied-to-seismic-data

Seismic data interpolation. C++ implementation.

deepultrasound

Deep Learning RF Interpolation for Compressive Ultrasound Imaging

dispersion_images

frequency-velocity domain representation of seismic data

dispersion_inversion

dissipativity-and-passivity-analysis

A repository to all my codes related to dissipativity and passivity analysis in linear and nonlinear systems.

downsampled_sst

A fast implementation of synchrosqueezing transform based on downsampling scheme.

dynamic-spatiotemporal-interpolation

This project implements two dynamic spatiotemporal interpolation (DST) methods, i.e., coarse-grained DST (CGDST) and fine-grained DST (FGDST) using both temporal and spatial interpolation results. Different from other hybrid spatiotemporal interpolation methods, they make differences in the contribution of temporal and spatial interpolation results

efficient-art-split-bregman-reconstruction

MATLAB code for an iterative reconstruction method that alternates a computationally efficient linear solver (ART) with a fast denoising step based on the Split Bregman formulation

elasticmatrix

The ElasticMatrix software uses the partial-wave method to model elastic wave propagation in multilayered anisotropic media.

ensemble-kernel-learning-model-for-prediction-of-time-series-based-on-the-support-vector-regression-

Time series prediction based on support vector regression

evodcinv11

Inversion of dispersion curves using Evolutionary Algorithms

exploredas

famvemd

Fast and adaptive multivariate empirical mode decomposition (FA-MVEMD) contains a family of functions aimed at decomposing data sets of 1, 2 and 3 dimensional nature. The algorithm is based on the work presented in M. R. Thirumalaisamy, P. J. Ansell, ‘Fast and Adaptive Empirical Mode Decomposition for Multidimensional, Multivariate Signals’, IEEE S

fd2d-adjoint

finite difference wave propagation in 2D for Matlab. Both SH and P-SV, with forward and adjoint calculations and the possibility to compute kernels