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 ...
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 ...
IEEE

Architecture of an R Matrix Inversion Algorithm in HDL for Symbol Detection over V2V Doubly Selective Channels

Abstract: Currently, Vehicle-to-Vehicle (V2V) applications face significant degradation due to Doubly Selective Channel (DSC) effects, which arise from multi-path propagation and Doppler shifts. Inter ...
IEEE

Poster: Optimization of Matrix LU Decomposition Algorithm in DSP

Abstract: Digital Signal Processors (DSPs) rely on VLIW and SIMD architectures to provide significant advantages in real-time, low-power computation. The efficient implementation of matrix LU ...
GitHub

qsimeon/making-neural-networks-perform

This educational Jupyter notebook demonstrates how neural networks can learn to perform fundamental matrix operations through iterative algorithms. Instead of computing matrix inversion or Principal ...