Title :
Perceptual Compressed Sensing and perceptual Sparse Fast Fourier Transform for audio signal compression
Author :
Kasem, Hossam ; Elsabrouty, Maha
Author_Institution :
Electron. & Electr. Commun., Egypt-Japan Univ. for Sci. & Technol. (E-JUST), Alexanderia, Egypt
Abstract :
Sparse signal processing has become central in many communications and multimedia processing applications. Techniques such as Compressed Sensing(CS) and Sparse Fast Fourier Transform (SFFT) provide good quality of the restored signal even when the signal is not completely sparse even also at high compression ratio. In this work, we examine the effect of taking the perceptual properties of the audio signal into account while performing both CS and SFFT. The improved perceptual signal quality by Mean Opinion Score (MOS) is verified.
Keywords :
audio coding; compressed sensing; data compression; fast Fourier transforms; SFFT; audio signal compression; compression ratio; mean opinion score; multimedia processing; perceptual compressed sensing; perceptual signal quality; perceptual sparse fast Fourier transform; sparse signal processing; Auditory system; Encoding; Audio signal; Perceptual SFFT; Perceptual compressed sensing; Perceptual properties; Sparsity;
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2014 IEEE 15th International Workshop on
Conference_Location :
Toronto, ON
DOI :
10.1109/SPAWC.2014.6941862
