DocumentCode :
2349775
Title :
Non-iterative frequency estimation in the DFT magnitude domain
Author :
Sousa, Ricardo ; Ferreira, Aníbal
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Porto, Porto, Portugal
fYear :
2010
fDate :
3-5 March 2010
Firstpage :
1
Lastpage :
4
Abstract :
The accurate estimation of the frequency of sinusoids is a frequent problem in many signal processing problems including the real-time analysis of the singing voice. In this paper we rely on a single DFT magnitude spectrum in order to perform frequency estimation in a non-iterative way. Two new frequency estimation methods are derived that are matched to the time analysis window and that reduce the maximum absolute estimation error to about 0.1% of the bin width of the DFT. The performance of these methods is evaluated including the parabolic method as a reference, and considering the influence of noise. A combined model is proposed that offers higher noise robustness than that of a single model.
Keywords :
discrete Fourier transforms; frequency estimation; signal processing; DFT magnitude spectrum; maximum absolute estimation error; noise robustness; noniterative frequency estimation; parabolic method; real-time analysis; signal processing; singing voice; sinusoid; time analysis window; Cepstral analysis; Educational technology; Frequency domain analysis; Frequency estimation; Harmonic analysis; Multiple signal classification; Noise robustness; Signal analysis; Signal processing; Speech analysis;
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.2010.5463483
Filename :
5463483
Link To Document :
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