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 :
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