DocumentCode
3036962
Title
Quantized Perceptual Compressed Sensing for Audio Signal Compression
Author
Kasem, Hossam Mohamed ; Muta, Osumu ; Elsabrouty, Maha ; Frukawa, Hiroshi
Author_Institution
Egypt-Japan Univ. of Sci. & Technol., Egypt
fYear
2015
fDate
7-9 April 2015
Firstpage
453
Lastpage
453
Abstract
In this paper, we propose using different quantization values, including 1-bit compressed sensing for perceptual audio signal compression in perceptual systems[1], in order to clarify the effect of the quantization process on the achievable quality of audio signal. Simulations results show that reasonable performance is achieved for different quantization CS compared to quantized classical CS.
Keywords
audio signal processing; compressed sensing; quantisation (signal); perceptual audio signal compression system; quality of audio signal; quantized perceptual compressed sensing; Compressed sensing; Data compression; Psychoacoustic models; Quantization (signal); Reconstruction algorithms; Sensors; Simulation; 1-bit compressed sensing; audio compression; compressed sensing; perceptual compressed sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference (DCC), 2015
Conference_Location
Snowbird, UT
ISSN
1068-0314
Type
conf
DOI
10.1109/DCC.2015.52
Filename
7149316
Link To Document