Wavelets in Digital Audio Processing: Beethoven's Sonatas Clustering. / Baravy, I.
Proceedings of the conference "Control Processes and Stability". Издательство Санкт-Петербургского университета, 2013. p. 513-516.Research output: Chapter in Book/Report/Conference proceeding › Article in an anthology › Research
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TY - CHAP
T1 - Wavelets in Digital Audio Processing: Beethoven's Sonatas Clustering
AU - Baravy, I.
PY - 2013
Y1 - 2013
N2 - Wavelet analysis techniques of digital audio processing are considered. Tonality formalization and corresponding proof-of-concept detection algorithm are provided. Wavelet approach is applied to the clustering problem on the example of Beethoven's sonatas. The method for effective signal denoising and analysis in both time and frequency domains is constructed based on the properties of discrete wavelet transform.
AB - Wavelet analysis techniques of digital audio processing are considered. Tonality formalization and corresponding proof-of-concept detection algorithm are provided. Wavelet approach is applied to the clustering problem on the example of Beethoven's sonatas. The method for effective signal denoising and analysis in both time and frequency domains is constructed based on the properties of discrete wavelet transform.
KW - wavelets
KW - digital signal processing
KW - tonality detection
M3 - Article in an anthology
SN - 978-5-288-05435-8
SP - 513
EP - 516
BT - Proceedings of the conference "Control Processes and Stability"
PB - Издательство Санкт-Петербургского университета
ER -
ID: 4634803