other · SIA OpenIR (Chinese Academy of Sciences) · 2014
Parallel signal processing software
Li X(李想), Du JS(杜劲松), Hu JT(胡静涛), Bi X(毕欣)
Cited by 0Abstract and details only
Abstract
At present, parallel signal processing tasks is applied more and more widely. Traditional way of development of parallel signal processing tasks is custom development. This development way needs manual programming, the development cycle is long, and the platform portability is poor. The parallel signal processing software discussed in this paper will make revolutionary change in the way of development of parallel signal processing tasks. The goal of parallel signal processing tasks is to achieve fully graphical and modularized development under an integrated development software environment. The software can automatically generate codes. Besides, the software provides the function of predicting and evaluating the performance. Furthermore, the software has generalization of hardware platform. © 2015 Taylor & Francis Group, London.
Cite this paper
X(李想), L., JS(杜劲松), D., JT(胡静涛), H., & X(毕欣), B. (2014). Parallel signal processing software. SIA OpenIR (Chinese Academy of Sciences).
X(李想), Li, et al. “Parallel signal processing software.” SIA OpenIR (Chinese Academy of Sciences), 2014.
X(李想), Li, Du JS(杜劲松), Hu JT(胡静涛), and Bi X(毕欣). 2014. “Parallel signal processing software.” SIA OpenIR (Chinese Academy of Sciences).
X(李想), L. et al. (2014) ‘Parallel signal processing software’, SIA OpenIR (Chinese Academy of Sciences).
@misc{x2014parallel,
title = {{Parallel signal processing software}},
author = {X(李想), Li and JS(杜劲松), Du and JT(胡静涛), Hu and X(毕欣), Bi},
journal = {SIA OpenIR (Chinese Academy of Sciences)},
year = {2014}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.