GitHub

Highly optimized Pseudo-Polar Fourier Transform in Python.

This repository provides a Python implementation of the Pseudo-Polar Fourier Transform (PPFT) in both 2D (PPFT2D) and 3D (PPFT3D), based on the methods presented in the following papers: ...
IEEE

Phase Estimation Using Discrete Chirp-Fourier-Transform-Based Method

Abstract: Spherical measurement is a relatively important application in optical measurement. The interferogram obtained in spherical inspection usually consists of closed fringe patterns. Obtaining ...
IEEE

Parameter Estimation of Sub-/Super-Synchronous Oscillation Based on Interpolated All-Phase Fast Fourier Transform with Optimized Window Function

Abstract: In recent years, with increasing amounts of renewable energy sources connecting to power networks, sub-/super-synchronous oscillations (SSOs) have occurred more frequently. Due to the ...
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Nesterov accelerated gradient (NAG) from scratch in Python – step-by-step tutorial

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for improving optimization techniques in machine learning! 💡🔧 #NesterovGradient ...
GitHub

Decomp-Parsing-Service is a Python module that transforms abstract static analysis results into intermediate representations that can be used to suggest a decomposition of a ...

The Parsing Service interacts with the static analysis tools that generate abstract representations in the form of TypeData, methodData and invocationData. This service transforms these results into ...