Title :
Universal Tone Detection Based on the Goertzel Algorithm
Author :
Schwingshackl, D. ; Mayerdorfer, T. ; SträuBnigg, D.
Author_Institution :
Infineon Technol. Austria AG, Villach
Abstract :
This paper presents a new universal tone detection algorithm using the quotient of two Goertzel filter outputs. This algorithm will be referred to as the Goertzel quotient algorithm (GQA). A detailed analysis and comparison with existing solutions in terms of performance and computational complexity are given. The GQA was found to be a reliable tone detector in noisy environments and a high precision frequency estimator in environments with low noise. Computational complexity and memory requirements are on a low level.
Keywords :
computational complexity; frequency estimation; signal detection; Goertzel filter; Goertzel quotient algorithm; computational complexity; high precision frequency estimator; universal tone detection; Computational complexity; Detection algorithms; Detectors; Filters; Frequency estimation; Paper technology; Performance analysis; Predictive models; Radiofrequency interference; Working environment noise;
Conference_Titel :
Circuits and Systems, 2006. MWSCAS '06. 49th IEEE International Midwest Symposium on
Conference_Location :
San Juan
Print_ISBN :
1-4244-0172-0
Electronic_ISBN :
1548-3746
DOI :
10.1109/MWSCAS.2006.382085