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

fYear

2014

fDate

22-25 June 2014

Firstpage

444

Lastpage

448

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Advances in Wireless Communications (SPAWC), 2014 IEEE 15th International Workshop on

Conference_Location

Toronto, ON

Type

conf

DOI

10.1109/SPAWC.2014.6941862

Filename

6941862