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Stop crashing your Python scripts: How to handle massive datasets on any laptop

How chunked arrays turned a frozen machine into a finished climate model ...
GitHub

Implement Gaussian Filtering Using Sparse Matrix Instead of Built-in Functions

Currently, I need to perform Gaussian filtering on images, but I want to avoid using MATLAB's built-in functions. Given an image of size N x N, my idea is to construct a sparse matrix where both ...
IEEE

Sparse Array Wideband Beamforming Based on Covariance Matrix Reconstruction and Neural Network

Abstract: Sparse arrays offer economic advantages by reducing the number of antennas. However, directly utilizing the covariance matrix of sparse array signals for wideband beamforming may lead to the ...
GitHub

sparse-matrix-vector-multiplication

This project focuses on lossless compression techniques optimizing space, time, and energy for multiplications between binary (or ternary) matrix formats and real-valued vectors.
Semiconductor Engineering

Distributed Radar Signal Processing Utilizing A Sparse Array To Obfuscate The Data

A new technical paper titled “Signal processing architecture for a trustworthy 77GHz MIMO Radar” was published by researchers at Fraunhofer FHR, Ruhr University Bochum, and Wavesense Dresden GmbH.