DocumentCode
2067516
Title
A novel inverse quantization algorithm based on Taylor series for digital audio codecs
Author
Fan Liu ; Junfeng Zhu ; Xiaozong Huang ; Xun Xiang
Author_Institution
Sichuan Inst. of Solid State Circuits, China Electron. Technol. Group Corp., Chongqing, China
fYear
2013
fDate
28-31 Oct. 2013
Firstpage
1
Lastpage
3
Abstract
We propose a novel algorithm for inverse quantization in some audio codec systems, such as MP3, AAC, etc. The optimized algorithm not only reduces the memory size and increases the accuracy of coefficients, but also simplifies the calculations. Compared with other reported algorithms based on float-point calculation, the novel method significantly improved both the accuracy and calculation complexity. We also show that the performance of the system is improved tremendously when the new algorithm is implemented under fixed-point calculation.
Keywords
audio coding; fixed point arithmetic; quantisation (signal); series (mathematics); Taylor series; digital audio codec; fixed point calculation; inverse quantization algorithm; optimized algorithm; Algorithm design and analysis; Approximation algorithms; Approximation error; Codecs; Complexity theory; Digital audio players; Quantization (signal); SNR; fixed-point calculation; inverse quantization; quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
ASIC (ASICON), 2013 IEEE 10th International Conference on
Conference_Location
Shenzhen
ISSN
2162-7541
Print_ISBN
978-1-4673-6415-7
Type
conf
DOI
10.1109/ASICON.2013.6811981
Filename
6811981
Link To Document