DocumentCode
3409107
Title
Adaptive jointly parameter quantization method for sinusoidal audio coding
Author
Song, Wang ; Chang-Chun, Bao ; Xiao-Ming, Li
Author_Institution
Speech & Audio Signal Process. Lab., Beijing Univ. of Technol., Beijing, China
fYear
2010
fDate
24-28 Oct. 2010
Firstpage
478
Lastpage
481
Abstract
In this paper, we propose an adaptive jointly parameter quantization scheme for sinusoidal matching pursuit (MP) audio coding, where the sinusoidal parameters (amplitude, frequency, phase) are quantized jointly based on the real time statistical knowledge of parameters. The optimal quantizers which minimize the perceptual distortion under a given entropy constraint, are derived analytically by high-rate theory. In comparison tests, the significant improvements achieved with the proposed scheme are shown.
Keywords
audio coding; quantisation (signal); adaptive jointly parameter quantization method; entropy constraint; high rate theory; optimal quantizer; perceptual distortion; real time statistical knowledge; sinusoidal matching pursuit audio coding; Audio coding; Distortion measurement; Entropy; Matching pursuit algorithms; Quantization; Speech; High-rate quantization; adaptive jointly quantization; matching pursuit; sinusoidal coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5897-4
Type
conf
DOI
10.1109/ICOSP.2010.5656175
Filename
5656175
Link To Document