并行MATLAB技术
Parallel MATLAB Techniques
摘要：
在本章中，我们将展示为什么并行MATLAB是有用的，提供了不同的并行MATLAB选择的比较，并描述了一些应用在信号和图像处理：音频信号处理，合成孔径雷达（SAR）处理和超导量子干涉滤波器（SQIF）。这些应用程序中的每一个都使用不同的方法（任务并行和数据并行技术）进行并行化。所提出的应用可以被认为是信号和图像处理研究人员所面临的问题的代表类型。本章还将努力作为一个新的信号和图像处理并行程序员的指导，建议一个并行化策略，可以采用时，开发一个通用的并行算法。本章的目的是帮助信号和图像处理算法开发人员了解使用并行MATLAB解决大型问题的优势，同时保持在强大的MATLAB环境中。
英文摘要：
In this chapter, we show why parallel MATLAB is useful, provide a comparison of the different parallel MATLAB choices, and describe a number of applications in Signal and Image Processing: Audio Signal Processing, Synthetic Aperture Radar (SAR) Processing and Superconducting Quantum Interference Filters (SQIFs). Each of these applications have been parallelized using different methods (Task parallel and Data parallel techniques). The applications presented may be considered representative of type of problems faced by signal and image processing researchers. This chapter will also strive to serve as a guide to new signal and image processing parallel programmers, by suggesting a parallelization strategy that can be employed when developing a general parallel algorithm. The objective of this chapter is to help signal and image processing algorithm developers understand the advantages of using parallel MATLAB to tackle larger problems while staying within the powerful environment of MATLAB.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
