IEEE

Automated RCS Measurements Processing via Multibasis Dictionary and Compressive Sensing

Abstract: Accurate extraction of radar cross section (RCS) from real-world measurements is challenged by noise, clutter, and near-field effects. This article presents the dictionary pursuit (DP) ...
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

ISAR Imaging With Phase Distortion and 2-D Compressive Sampling

Abstract: Sparse sampling technique has important applications in modern measurement field, especially in inverse synthetic aperture radar (ISAR) imaging. However, the phase distortion of the signal ...
blockchain

AI Reasoning Advances: Best-of-N Sampling, Tree Search, Self-Verification, and Process Supervision Transform Large Language Models

According to God of Prompt, leading AI research is rapidly evolving with new techniques that enhance large language models' reasoning capabilities. Best-of-N sampling allows models to generate ...
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 ...