DocumentCode :
2349703
Title :
Fast method to detect specific frequencies in monitored signal
Author :
Jaber, Marwan A. ; Massicotte, Daniel
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. du Quebec a Trois-Rivieres, Trois-Rivieres, QC, Canada
fYear :
2010
fDate :
3-5 March 2010
Firstpage :
1
Lastpage :
5
Abstract :
The Discrete Fourier Transform (DFT) is a mathematical procedure that stands at the center of the processing that takes place inside a Digital Signal Processor. It has been known and argued through the literatures that the Fast Fourier Transform (FFT) is useless in detecting a specific frequency in a monitored signal because most of the computed results are ignored. In this paper we will present an efficient FFT based method to detect specific frequencies in a monitored signal which is compared to the most frequently used method ¿the Goertzel´s Algorithm¿. Parallel implementation structure show a fast computation method compared to the Goertzel´s algorithm. Computational speedup gains of r using radix-r butterfly are shown.
Keywords :
digital signal processing chips; discrete Fourier transforms; signal detection; Goertzel´s algorithm; digital signal processor; discrete Fourier transform; fast Fourier transform; monitored signal; radix-r butterfly; specific frequency detection; Concurrent computing; Digital signal processing; Discrete Fourier transforms; Fast Fourier transforms; Fault detection; Frequency; Monitoring; Signal processing; Signal processing algorithms; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Control and Signal Processing (ISCCSP), 2010 4th International Symposium on
Conference_Location :
Limassol
Print_ISBN :
978-1-4244-6285-8
Type :
conf
DOI :
10.1109/ISCCSP.2010.5463480
Filename :
5463480
Link To Document :
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