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 ...

Abstract: This work shows an FPGA implementation for the matrix inversion algebra operation. Usually, large matrix dimension is required for real-time signal processing applications, especially in ...

Abstract: Large scale matrix inversion has been used in many domains and block-based Gauss-Jordan (G-J) algorithm as a classical method of large matrix inversion has become the focus of many ...

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 ...

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 ...

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 ...