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
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;
Conference_Titel :
Data Compression Conference (DCC), 2015
Conference_Location :
Snowbird, UT
DOI :
10.1109/DCC.2015.52
