A mock data study for 3G correlated confusion noise
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Updated
Apr 28, 2023 - Jupyter Notebook
A mock data study for 3G correlated confusion noise
Procesamiento de imagenes usando tecnica Gaussian-Matched Filters
DiallelX is a CPU-oriented modern fortran program to approximate Network Cross-Correlation coefficients (NCCs) among multiple continuous records and template waveforms observed at multiple seismic stations. The results, relatively less accurate but sufficient to find new seismic events, are obtained several-fold faster than a conventional scheme.
Find point sources in sky maps using matched filtering.
Bat like sonar sensor that can track multiple targets and estimate angle of arrival using chirps and cross correlation in near real time.
StochasticA is a textbook / website for an “Introduction to Stochastic Signal Processing”. Materials for this website can be found here. Be sure to read the README.md document if you want to know more about the implementation.
26th place solution for Kaggle LANL Earthquake Prediction competition
In this project, I implement an enhanced active contour method that uses discrete wavelet transform for energy minimization to increase the accuracy.
This repository includes LMS-Adaptive algorithm implementation
Optimized Codes to run Matched Filtering on GW Data using Particle Swarm Optimization
Performs automatic segmentation of hard exudates using the opencv library
Real-Time implementation of EQcorrscan methods.
Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.
Earthquake detection and analysis in Python.
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