In many applications, the solution of a linear system is computed with Gaussian elimination
followed by back-substitution, or Gauss–Jordan elimination. The latter is intrinsically more …

Gaussian elimination is a well-known technique to compute the solution to a system of linear
equations and boosting its performance is highly desirable. While straightforward parallel …

Some applications, especially real time simulation systems, require to compute a linear
system's solution in a very short amount of time. FPGA are well known to offer low latency …

This paper introduces a hardware simulation flow that is based on the **linx System
Generator Tool (XSG), of an architecture for solving dense linear systems, presented as a …

Implementation of artificial neural networks in software on general purpose computer
platforms are brought to an advanced level both in terms of performance and accuracy …

This work presents an FPGA-based Hardware Architecture to implement the Prediction
Stage of the Extended Kalman Filter (EKF) applied to the localization problem in mobile …

Gauss-Jordan Elimination (GJE) is a popular method for solving systems of linear equations.
Much work has been done to design high throughput, low cost, FPGA-based architectures …

Finding new techniques to accelerate electromagnetic (EM) simulations has become a
necessity nowadays due to its frequent usage in industry. As they are mainly based on …

The paper describes a parallel architecture in the form of a systolic automaton consisting of
three distinct stages for the computation of the model parameters of an autoregressive (AR) …

O Método de Grupo para Manipulação de Dados (GMDH-Group Method of Data Handling) é
um modelo de rede neural artificial (RNA) constituído de neurônios compostos por …