GithubHelp home page GithubHelp logo

enpoloo's Projects

2dnoise_adjoint_tomography icon 2dnoise_adjoint_tomography

This is providing the code for 2D ambient noise adjoint tomography and joint inversion of ambient noise and teleseismic body-wave

abc icon abc

ABC (AmBient noise and Coda) is to compute cross correlation time functions from ambient noise or coda.

aftan icon aftan

Seismic Surface Wave Dispersion Measurements with Automatic Frequency Time Analysis

akiestimate icon akiestimate

Estimate dispersion from Ambient Noise Cross-Correlations using Aki's spectral formulation

amb_noise_tools icon amb_noise_tools

Python functions to preprocess and correlate ambient-noise data and extract phase-velocity curves

ancc icon ancc

Some scripts for ambient noise tomography (support parallel computing and auto-correlation computation)

awgm_grid_v3.0 icon awgm_grid_v3.0

This package aims to calculate the phase velocity and azimuth anisotropy of surface waves using the wave field spatial gradient (du/dx,du/dy) of seismic surface wave waves, and then to invert the three-dimensional velocity and anisotropic structure.

b3am icon b3am

Beamforming toolbox for 3-component ambient noise

cc-fjpy icon cc-fjpy

A Python Package for seismic ambient noise cross-correlation and the frequency-Bessel transform method

dazimsurftomo icon dazimsurftomo

Direct inversion of Rayleigh wave dispersion data for 3-D azimuthal anisotropy based on ray tracing

dispernet icon dispernet

The Codes and Python Package of DisperNet: An Effective Method of Extracting and Classifying the Dispersion Curves in the Frequency-Bessel Dispersion Spectrum

doublebeamforming icon doublebeamforming

code for traditional method and fast method for double beamforming of ambient seismic noise, with example workflow on US Array data

dsurftomo icon dsurftomo

Direct inversion of surface dispersion data based on ray tracing

dt-wavelet icon dt-wavelet

Codes for measuring travel-time shifts by seismic interferometry in the time-frequency domain with wavelet cross-spectrum analysis.

fastpcc icon fastpcc

Compute interstation correlations of seismic ambient noise, including fast implementations of the standard, 1-bit and phase cross-correlations.

fiberopticearthquakes icon fiberopticearthquakes

Scripts and data to recreate figures from the paper "Fiber-optic network observations of earthquake wavefields" by N.J. Lindsey, E.R. Martin, D.S. Dreger, B. Freifeld, S. Cole, S.R. James, B.L. Biondi, J.B. Ajo-Franklin

gspecdisp icon gspecdisp

A Matlab package for phase-velocity dispersion measurement from ambient-noise correlations

masw.jl icon masw.jl

Julia function for Multichannel Analysis of Surface Waves (MASW)

matnoise icon matnoise

Calculate ambient noise cross-correlations, measure phase velocities, and invert for phase velocity maps in MATLAB.

noise icon noise

Python codes for ambient seismic cross-correlation

noisepy icon noisepy

Gathers all of our ambient noise modules in python

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.