Title :
Lossy Audio Compression via Compressed Sensing
Author :
de Medeiros, Rubem J V ; Gurj, Edmar C. ; de Carvalho, Jose M.
Author_Institution :
Electr. Eng. Dept., Fed. Univ. of Campina Grande, Campina Grande, Brazil
Abstract :
We propose a Compressed Sensing application to audio signals and analyze its audio perceptual quality with PEAQ. We analyzed the CS sensing framework for audio signals and evaluate its perceptual audio quality. The present work can be extended to be part of a more complex audio CODEC as natural expansion of this work.
Keywords :
audio coding; codecs; data compression; PEAQ; audio CODEC; audio perceptual quality; audio signals; compressed sensing application; lossy audio compression; perceptual audio quality; Audio coding; Audio compression; Compressed sensing; Data compression; Data engineering; Decoding; Discrete cosine transforms; Sampling methods; Signal analysis; System performance; Audio Coding; Compressed Sensing; Lossy Compression;
Conference_Titel :
Data Compression Conference (DCC), 2010
Conference_Location :
Snowbird, UT
Print_ISBN :
978-1-4244-6425-8
Electronic_ISBN :
1068-0314
DOI :
10.1109/DCC.2010.88
