Paper Info
Title
Parallel MATLAB Techniques.
Abstract
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.
Year
Venue
Field
2014
CoRR
Multidimensional signal processing,Quantum interference,MATLAB,Parallel algorithm,Synthetic aperture radar,Computer science,Image processing,Digital image processing,Audio signal processing,Distributed computing
DocType
Volume
Citations 
Journal
abs/1407.2636
2
PageRank 
References 
Authors
0.46
4
3
Name
Order
Citations
PageRank
Ashok Krishnamurthy145556.47
Siddharth Samsi220124.09
Vijay Gadepally344950.53