Techniques

Data Science, Techniques

Exploring the Multi-Taper Method: A Robust Approach for Time-Frequency Analysis

Explore the Multi-Taper Method’s unique ability to refine spectral estimates in seismology. Leveraging multiple orthogonal tapers, this approach minimizes variance and mitigates spectral leakage, offering a more reliable analysis of non-stationary seismic signals.

Utpal Kumar
August 12, 2024

Geophysics, Techniques

Empirical Orthogonal Function analysis to inspect the spatial coherency in the geospatial data

Empirical Orthogonal Functions analysis decomposes the continuous space-time field into a set of orthogonal spatial patterns along with a set of associated uncorrelated time series or principal components. Introductory concepts of EOF analysis

Utpal Kumar
May 7, 2021

Data Science, Techniques

Signal denoising using Fourier Analysis in Python

Fourier analysis is based on the idea that any time series can be decomposed into a sum of integral of harmonic waves of different frequencies. Hence, theoretically, we can employ a number of harmonic waves to generate any signal. The…

Utpal Kumar
April 29, 2021

Data Science, Techniques

Speeding Up Your Code with Parallel Computing in Python

macro photography of black circuit board

Parallel computing is essential for handling large datasets efficiently. In this post, we explore Python's threading, multiprocessing, and joblib libraries to speed up code execution. Learn the differences between threading and multiprocessing, and understand how to use joblib for optimized parallel processing, especially with NumPy arrays.

Utpal Kumar
January 6, 2021

Techniques, Utilities

Using GitHub for Team Collaboration

Tutorial on how to use Git and GitHub for team collaboration on a project. Content includes installing, setting up, creating a repository, making commits, undoing stuffs, creating branches, merging branches etc.

Utpal Kumar
April 27, 2019