An integrated framework for high level design of high performance signal processing circuits on FPGAs

2005 ◽  
Author(s):  
K. Benkrid ◽  
S. Belkacemi ◽  
S. Sukhsawas
Keyword(s):  
Signal Processing ◽  
High Performance ◽  
Integrated Framework ◽  
Level Design ◽  
High Level

A High Level Design of Reconfigurable and High-Performance ASIP Engine for Image Signal Processing

2012 ◽  
Vol E95.A (12) ◽  
pp. 2373-2383 ◽  
Author(s):  
Hsuan-Chun LIAO ◽  
Mochamad ASRI ◽  
Tsuyoshi ISSHIKI ◽  
Dongju LI ◽  
Hiroaki KUNIEDA
Keyword(s):  
Signal Processing ◽  
High Performance ◽  
Level Design ◽  
High Level

Matlab and Parallel Computing

2012 ◽  
Vol 17 (4) ◽  
pp. 207-216 ◽  
Author(s):  
Magdalena Szymczyk ◽  
Piotr Szymczyk
Keyword(s):  
Image Processing ◽  
Signal Processing ◽  
Parallel Computing ◽  
Distributed Computing ◽  
Control Systems ◽  
High Performance ◽  
Parallel Applications ◽  
Process Simulations ◽  
Key Features ◽  
Financial Process

Abstract The MATLAB is a technical computing language used in a variety of fields, such as control systems, image and signal processing, visualization, financial process simulations in an easy-to-use environment. MATLAB offers "toolboxes" which are specialized libraries for variety scientific domains, and a simplified interface to high-performance libraries (LAPACK, BLAS, FFTW too). Now MATLAB is enriched by the possibility of parallel computing with the Parallel Computing ToolboxTM and MATLAB Distributed Computing ServerTM. In this article we present some of the key features of MATLAB parallel applications focused on using GPU processors for image processing.

Sign in / Sign up

Export Citation Format

Share Document