NDLI: CS performance analysis for the musical signals reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Scekic, Marijana Mihajlovic, Radomir Orovic, Irena Stankovic, Srdjan
Copyright Year	2014
Description	Author affiliation: Faculty of Electrical Engineering University of Montenegro Podgorica, Montenegro (Scekic, Marijana; Mihajlovic, Radomir; Orovic, Irena; Stankovic, Srdjan)
Abstract	The Compressive Sensing (CS) method for reconstruction of musical signals is analyzed in this paper. CS is a new method for signal acquisition which has been developed in recent years. In the CS scenarios, it is possible to reconstruct the entire signal information from just a small set of randomly chosen measurements, using different minimization algorithms. Consequently, this method founds application in a large number of signal processing areas. The analyzed musical signals and the applied acquisition procedure, satisfy two important CS requirements. Namely, the observed signals have sparse representation in frequency domain, and the measurement procedure provides conservation of the main information about the signal, despite the reduction of the number of analyzed samples. Musical signals of different nature and complexity are observed in the paper. The efficiency of the CS reconstruction is analyzed for different number of available measurements. It will be shown that the minimal number of measurements required for successful signal reconstruction depends on the complexity of musical tones. Based on reconstruction error, the simple CS procedure for classification of two types of musical signals is presented. The reconstruction accuracy is measured by mean relative error between original and reconstructed signal, as well as perceptually — by listening both original and reconstructed signal.
Sponsorship	IEEE Serbia & Montenegro Sect.
Starting Page	225
Ending Page	228
File Size	663568
Page Count	4
File Format	PDF
e-ISBN	9781479948260
DOI	10.1109/MECO.2014.6862701
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-15
Publisher Place	Montenegro
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Instruments Frequency-domain analysis Biomedical measurement Signal reconstruction Compressive Sensing Complexity theory Wind instruments Discrete cosine transforms Signal classification String instruments Compressed sensing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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