IEEE

Correlated Sparse Bayesian Learning for Recovery of Block Sparse Signals With Unknown Borders

Abstract: We consider the problem of recovering complex-valued block sparse signals with unknown borders. Such signals arise naturally in numerous applications. Several algorithms have been developed ...
IEEE

Comparison and Applications of Multiplying 2 by 2 Matrices Using Strassen Algorithm in Python IDLE, Jupyter Notebook, and Colab

Abstract: Even though the task of multiplying matrices appears to be rather straightforward, it can be quite challenging in practice. Many researchers have focused on how to effectively multiply two 2 ...
GitHub

Code Description for Matrix Sparsity-Based Pauli Decomposition (Python Version)

This document is designed to help users quickly understand, use, and maintain the MATLAB and Python implementations of the matrix sparsity-based Pauli decomposition (MSPD) algorithm. - ...
GitHub

3D Playground - Python 3D engine.

models.Model API is open demonstration of MVP model and is definitely a good starting point/topic for 3D graphics. Also you can plot any function on 3D scene. To create model you can simply pass 3D ...