CLC number: TN911.6
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
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Laurent NAVARRO, Guy COURBEBAISSE, Jean-Charles PINOLI. Continuous frequency and phase spectrograms: a study of their 2D and 3D capabilities and application to musical signal analysis[J]. Journal of Zhejiang University Science A, 2008, 9(2): 199-206.
@article{title="Continuous frequency and phase spectrograms: a study of their 2D and 3D capabilities and application to musical signal analysis",
author="Laurent NAVARRO, Guy COURBEBAISSE, Jean-Charles PINOLI",
journal="Journal of Zhejiang University Science A",
volume="9",
number="2",
pages="199-206",
year="2008",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A072140"
}
%0 Journal Article
%T Continuous frequency and phase spectrograms: a study of their 2D and 3D capabilities and application to musical signal analysis
%A Laurent NAVARRO
%A Guy COURBEBAISSE
%A Jean-Charles PINOLI
%J Journal of Zhejiang University SCIENCE A
%V 9
%N 2
%P 199-206
%@ 1673-565X
%D 2008
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A072140
TY - JOUR
T1 - Continuous frequency and phase spectrograms: a study of their 2D and 3D capabilities and application to musical signal analysis
A1 - Laurent NAVARRO
A1 - Guy COURBEBAISSE
A1 - Jean-Charles PINOLI
J0 - Journal of Zhejiang University Science A
VL - 9
IS - 2
SP - 199
EP - 206
%@ 1673-565X
Y1 - 2008
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A072140
Abstract: A new lighting and enlargement on phase spectrogram (PS) and frequency spectrogram (FS) is presented in this paper. These representations result from the coupling of power spectrogram and short time Fourier transform (STFT). The main contribution is the construction of the 3D phase spectrogram (3DPS) and the 3D frequency spectrogram (3DFS). These new tools allow such specific test signals as small slope linear chirp, phase jump and small frequency jump to be analyzed. An application case of musical signal analysis is reported. The main objective is to detect small frequency and phase variations in order to characterize each type of sound attack without losing the amplitude information given by power spectrogram.
[1] Auger, F., Flandrin, P., 1995. Improving the readability of time-frequency and time-scale representations by the reassignment method. IEEE Trans. on Signal Processing, 43:1068-1089.
[2] Auger, F., Flandrin, P., Lemoine, O., Gonçalvès, P., 1998. Time-Frequency Toolbox for MATLAB.
[3] Bresenham, J.E., 1965. Algorithm for computer control of a digital plotter. IBM Systems Journal, 4:25-30.
[4] Cohen, L., 1989. Time-frequency distributions—a review. Proc. IEEE, 77:941-981.
[5] Léonard, F., 2005. Phase spectrogram and frequency spectrogram as new diagnostic tools. Mechanical Systems and Signal Processing, 21:125-137.
[6] Oliveira, P.M., Barroso, V., 2000. Uncertainty in the time-frequency plane. Statistical Signal and Array Processing, 1:607-611.
[7] Oppenheim, A., Lim, J., 1981. The importance of phase in signals. Proc. IEEE, 69:529-541.
[8] Qian, S., Chen, D., 1996. Joint Time-Frequency Analysis: Methods and Applications. Prentice-Hall, Inc., Upper Saddle River, NJ, USA.
[9] Ville, J., 1948. Théorie et applications de la notion de signal analytique. Câbles et Transmissions, 1:61-74 (in French).
[10] Wu, F., Perio, P., 1979. La phase en acoustique musicale. I. Analyse d'un signal quasi-périodique. Journal de Physique, 40:799-810 (in French).
[11] Wu, F., Perio, P., 1981. La phase en acoustique musicale. II. Le rayonnement des instruments à vent. Journal de Physique, 42:627-633 (in French).
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