This project implements matrix inversion using the Neumann series algorithm accelerated with CUDA. The objective is to approximate the inverse of a 64×64 matrix by exploiting GPU parallelism and ...

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 ...

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 ...

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 ...

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 ...

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 ...

Dr. James McCaffrey of Microsoft Research guides you through a full-code, step-by-step tutorial on "one of the most important operations in machine learning." Computing the inverse of a matrix is one ...