« Volver Ficha del Documento

A Parallel Framework with Block Matrices of a Discrete Fourier Transform for Vector-Valued Discrete-Time Signals

2015

23566140

This paper presents a parallel implementation of a kind of discrete Fourier transform (DFT): the vector-valued DFT. The vector-valued DFT is a novel tool to analyze the spectra of vector-valued discrete-time signals. This parallel implementation is developed in terms of a mathematical framework with a set of block matrix operations. These block matrix operations contribute to analysis, design, and implementation of parallel algorithms in multicore processors. In this work, an implementation and experimental investigation of the mathematical framework are performed using MATLAB with the Parallel Computing Toolbox. We found that there is advantage to use multicore processors and a parallel computing environment to minimize the high execution time. Additionally, speedup increases when the number of logical processors and length of the signal increase.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84942786573&partnerID=40&md5=6cf403e00ea70a97e8374e6a4e498981

Instituto Tecnológico de Costa Rica

Lidia Gómez

Cartago - 300m Este del Estadio Fello Meza. Apartado 159-7050.

2550-2263, 2550-2365


Dirección: Av. Mariscal Antonio José de Sucre N58-63 y Fernández Salvador Edif. Olade - San Carlos, Quito - Ecuador.

Web: www.olade.org

Teléfonos: (593 2) 259 8122 / 2598 280

Correo: realc@olade.org

ADMIN
Desarrollado por: Aikyu-Systems