Application of adaptive Golomb codes for lossless audio compression

2018 ◽  
Author(s):  
Cezary Wernik ◽  
Grzegorz Ulacha
Keyword(s):  
Audio Compression ◽  
Golomb Codes

Standards for Audio Compression

1997 ◽  
pp. 359-385
Author(s):  
Vasudev Bhaskaran ◽  
Konstantinos Konstantinides
Keyword(s):  
Audio Compression

Adaptive Signal Models for Wide-Band Speech and Audio Compression

2005 ◽  
pp. 571-578 ◽  
Author(s):  
Pedro Vera-Candeas ◽  
Nicolás Ruiz-Reyes ◽  
Manuel Rosa-Zurera ◽  
Juan C. Cuevas-Martinez ◽  
Francisco López-Ferreras
Keyword(s):  
Wide Band ◽  
Audio Compression ◽  
Adaptive Signal ◽  
Signal Models

scholarly journals Evaluation of Audio Compression Artifacts

10.14311/906 ◽  
2007 ◽  
Vol 47 (1) ◽  
Author(s):  
M. Herrera Martinez
Keyword(s):  
State Of The Art ◽  
Subjective Evaluation ◽  
Audio Coding ◽  
Coding System ◽  
Audio Compression ◽  
Coding Systems ◽  
Wide Range ◽  
Different Types ◽  
Processing Techniques ◽  
Signal Processing Techniques

This paper deals with subjective evaluation of audio-coding systems. From this evaluation, it is found that, depending on the type of signal and the algorithm of the audio-coding system, different types of audible errors arise. These errors are called coding artifacts. Although three kinds of artifacts are perceivable in the auditory domain, the author proposes that in the coding domain there is only one common cause for the appearance of the artifact, inefficient tracking of transient-stochastic signals. For this purpose, state-of-the art audio coding systems use a wide range of signal processing techniques, including application of the wavelet transform, which is described here. 

Lossy Audio Compression via Compressed Sensing

2010 ◽  
Author(s):  
Rubem J. V. de Medeiros ◽  
Edmar C. Gurjão ◽  
Joâo M. de Carvalho
Keyword(s):  
Compressed Sensing ◽  
Audio Compression
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