DocumentCode
730305
Title
From Simulink to smartphone: Signal processing application examples
Author
Pourreza-Shahri, R. ; Parris, S. ; Saki, F. ; Panahi, I. ; Kehtarnavaz, N.
Author_Institution
Dept. of Electr. Eng., Univ. of Texas at Dallas, Dallas, TX, USA
fYear
2015
fDate
19-24 April 2015
Firstpage
1861
Lastpage
1865
Abstract
This paper presents the steps one needs to take in order to run a signal processing algorithm designed in Simulink on the ARM processor of smartphones. The steps are conveyed by transitioning two signal processing application examples from Simulink to smartphone. The application examples involve background noise classification and lane departure detection. Considering that Simulink programming is widely used in signal processing, the approach presented in this paper is of benefit to practicing engineers and signal processing researchers/educators in terms of the process of making Simulink codes or models to run on smartphones.
Keywords
digital signal processing chips; interference (signal); smart phones; Simulink programming; background noise classification; lane departure detection; signal processing algorithm; smartphones ARM processor; Androids; Humanoid robots; Noise; Noise measurement; Real-time systems; Software packages; Simulink to smartphone; background noise classification on smartphone; lane departure detection on smartphone; running Simulink models on smartphones;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location
South Brisbane, QLD
Type
conf
DOI
10.1109/ICASSP.2015.7178293
Filename
7178293
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