From Simulink to smartphone: Signal processing application examples

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 bac...

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Bibliographic Details
Published in2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 1861 - 1865
Main Authors Pourreza-Shahri, R., Parris, S., Saki, F., Panahi, I., Kehtarnavaz, N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2015
Subjects
Androids
background noise classification on smartphone
Humanoid robots
lane departure detection on smartphone
Noise
Noise measurement
Real-time systems
running Simulink models on smartphones
Simulink to smartphone
Software packages
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Summary: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.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2015.7178293