Principal component analysis to decompose signals and reduce dimensionality
We will learn the basics of Fourier analysis and implement it to remove noise from the synthetic and real signals
Utpal Kumar's Blog
"All about coding, methods, algorithms, and applications in the context of Earth Sciences"
Concatenating daily seismic traces into one MiniSeed File
I concatenate the daily seismic traces for 15 days into one miniseed file for...
Computing cross-correlation and spectrogram of two seismic traces
Read the seismic traces from the miniseed files and compute the cross-correla...
Recent posts
Signal denoising using fourier analysis in python
We will learn the basics of Fourier analysis and implement it to remove noise from the synthetic and real signals
Analyzing miniseed seismic data in matlab
We will learn how to convert a mseed data file into mat format and then read and analyze it using MATLAB
Transfer learning applied on the unsplash data using alexnet pretrained network
Transfer learning using the pre-trained deep learning networks from MATLAB can be easily implemented to achieve fast and impressive results
Getting familiar with pytorch data structures
In this introduction to the concepts of Pytorch data structures, we will learn about how to create and reshape tensors using Pytorch and compare it with the ...
How to analyze a huge data file with pandas
We learn how to read huge csv file containing time series data by breaking it into chunks and then visualizing it with matplotlib
Pyqt5 application for visualizing ambient sound in real-time
A PyQt5 application for retrieving and visualizing sound waveforms in real time. Codes included.
How to start using pandas immediately for earth data analysis
This tutorial gives a brief description of scientific computing using Pandas by introducing Series, DataFrame, Pandas common operations, methods, conditional...
Introduction to numpy for scientific computing
This tutorial gives a brief description of scientific computing using numpy by introducing arrays, methods, attributes, random numbers, indexing, broadcastin...
A quick look into the sktime for time-series forecasting
I used the sktime library to forecast the airline data using NaiveForecaster, KNeighborsRegressor, Statistical forecasters, and auto ARIMA model.
Three-dimensional perspective map of taiwan using gmt and pygmt
We learn how to make the three-dimensional map using both GMT and PyGMT
Wavelet analysis applied to the real dataset in a quick and easy way
An introduction to the wavelet analysis for a real geophysical data set. I compared the analysis to the Fourier analysis. Codes included!
Concatenating daily seismic traces into one miniseed file
I concatenate the daily seismic traces for 15 days into one miniseed file for further analysis. Then I obtained the spectrogram of the 15 days seismic data. ...
Computing cross-correlation and spectrogram of two seismic traces
Read the seismic traces from the miniseed files and compute the cross-correlation and spectrogram
Principal component analysis to decompose signals and reduce dimensionality
We will learn the basics of Fourier analysis and implement it to remove noise from the synthetic and real signals
Signal denoising using fourier analysis in python
We will learn the basics of Fourier analysis and implement it to remove noise from the synthetic and real signals
Analyzing miniseed seismic data in matlab
We will learn how to convert a mseed data file into mat format and then read and analyze it using MATLAB
Transfer learning applied on the unsplash data using alexnet pretrained network
Transfer learning using the pre-trained deep learning networks from MATLAB can be easily implemented to achieve fast and impressive results
Getting familiar with pytorch data structures
In this introduction to the concepts of Pytorch data structures, we will learn about how to create and reshape tensors using Pytorch and compare it with the ...
How to analyze a huge data file with pandas
We learn how to read huge csv file containing time series data by breaking it into chunks and then visualizing it with matplotlib
Pyqt5 application for visualizing ambient sound in real-time
A PyQt5 application for retrieving and visualizing sound waveforms in real time. Codes included.
How to start using pandas immediately for earth data analysis
This tutorial gives a brief description of scientific computing using Pandas by introducing Series, DataFrame, Pandas common operations, methods, conditional...
Introduction to numpy for scientific computing
This tutorial gives a brief description of scientific computing using numpy by introducing arrays, methods, attributes, random numbers, indexing, broadcastin...
A quick look into the sktime for time-series forecasting
I used the sktime library to forecast the airline data using NaiveForecaster, KNeighborsRegressor, Statistical forecasters, and auto ARIMA model.
Three-dimensional perspective map of taiwan using gmt and pygmt
We learn how to make the three-dimensional map using both GMT and PyGMT
Wavelet analysis applied to the real dataset in a quick and easy way
An introduction to the wavelet analysis for a real geophysical data set. I compared the analysis to the Fourier analysis. Codes included!
