Authors:
Zihao Cui
1
;
Limei Xu
1
;
Min Chen
1
;
Jianwen Cui
2
and
Yuzhuo Ren
1
Affiliations:
1
University of Electronic Science and Technology of China, China
;
2
Institute of Disaster Prevention Yunnan, China
Keyword(s):
S-Transform, Compressing Algorithm, MFCC, Re-sampling.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
;
Signal Reconstruction
;
Time-Frequency Analysis
Abstract:
The S-Transform which is used in many fields, is better in the methods of time-frequency analysis. Although the S-Transform improves the time-frequency analysis, it also increases the algorithm complexity, resulting in rapidly increasing the computing time and needing more memory. Therefore, the S-Transform is difficult to be applied for real-time procession of signal. Based on the characteristics that human being is insensitive to the voice frequency resolution, in this paper, we propose a compressing algorithm of the S-transform. Through re-sampling frequency, the algorithm decreases data size, the computing time and computer memory usage in the S-transform. The application of the algorithm in MFCC analysis shows the results is reliable under the condition of re-sampling frequency resolution .