DocumentCode :
1888152
Title :
Compressing audio signals with the use of the wavelet transform and Embedded Systems
Author :
Herrera Martinez, Marcelo ; Rosas, Nelson Felipe ; Camargo, Carlos
Author_Institution :
Grupo de Acust., Univ. de San Buenaventura, Bogota, Colombia
fYear :
2013
fDate :
11-13 Sept. 2013
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, a perceptual audio compressor is developed with the use of the Wavelet Transform in an Embedded System. Former compressors were not able to achieve remarkable compression ratios while maintaining the same format type (in this case .wav). The present project makes an efficient use of a Transform which enables appropriate time-frequency tracking, without perceptual losses. As it is known, the FFT tracking is not suitable for the transient representation in audio signals, and signals containing highly variable spectral components from frame to frame. The present work addresses a more suitable representation with the use of the Daubechies-Wavelet Type 4, which solves satisfactorily the problem.
Keywords :
audio coding; embedded systems; time-frequency analysis; wavelet transforms; Daubechies-wavelet type 4; audio signal compression; embedded systems; perceptual audio compressor; time-frequency tracking; transient representation; variable spectral components; wavelet transform; Filter banks; IEC standards; Masking threshold; Noise; Wavelet transforms; Audio coders; Perceptual compression; Psychoacoustic models; Wavelet Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image, Signal Processing, and Artificial Vision (STSIVA), 2013 XVIII Symposium of
Conference_Location :
Bogota
Print_ISBN :
978-1-4799-1120-2
Type :
conf
DOI :
10.1109/STSIVA.2013.6644947
Filename :
6644947
Link To Document :
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