EDN

Complex matrix inversion on the StarCore SC3850 DSP

Complex matrix algebra is of great importance to a wide variety of applications. One of the most important application areas is telecommunications. Matrix calculations are used in communications ...
EDN

Implementing matrix inversions in fixed-point hardware

Matrix inversion is an important operationin many state-of-the-art DSP algorithmsand implementations, includingradar, sonar, and multiple antenna systemsfor communications. A commoncomponent of these ...
GitHub

vkvasan/Matrix_Inversion_HLS

We have implemented the entire architecture using Vitis HLS tool. Coding in C helped us save significant time in Design and Development of the entire project. Vitis HLS(formerly called Vivado HLS ) is ...
IEEE

Toward the synthesis of fixed-point code for matrix inversion based on Cholesky decomposition

Abstract: Matrix inversion is a computationally intensive basic block of many digital signal processing algorithms. To decrease the cost of their implementations, programmers often prefer the ...
IEEE

High speed GSGR matrix inversion algorithm with application to G. fast systems

Abstract: Several modern communication systems, such as G.fast-based copper transmission or LTE-based wireless systems, benefit from MIMO techniques to achieve higher capacity. In most of these ...
TechRepublic

Implementation of Complex Matrix Inversion Using Gauss-Jordan Elimination Method in Verilog

For high data rate wireless communications they use Orthogonal Frequency Division Multiplexing (OFDM) due to its high spectral efficiency and low computational complexity. It gives the architecture of ...
GitHub

Matrix Inversion using CUDA

This repository contains the implementation of Gauss Jordan Matrix Inversion using CUDA. It was part of an university project. Code can be found in GPU Computing folder. The other folders contain a ...