Title :
Research on Feature Extraction and Recognition of Acoustic Signal Based on AR Parameters Model
Author :
Yang, Wang ; Wang, Hong-liang ; Zhang, Wen-Dong ; Jun, Yu
Author_Institution :
Nat. Key Lab. for Electron. Meas. Technol., North Univ. of China, Taiyuan
Abstract :
Parameter method of using AR (auto-regressive) Parameters model is one of most important way to signal extraction, analyzing the acoustic signal data from different algorithms of AR Parameters Model in this paper, proves that different outcomes attributes different extractions to by simulating and the importance of preprocessing.
Keywords :
acoustic signal processing; autoregressive processes; feature extraction; AR parameters; acoustic signal recognition; autoregressive parameters model; feature extraction; signal extraction; Acoustic measurements; Acoustic testing; Data mining; Feature extraction; Laboratories; Pattern recognition; Software measurement; Target recognition; Wavelet coefficients; Wiener filter; feature extraction; similarity; target recognition;
Conference_Titel :
Embedded Software and Systems, 2008. ICESS '08. International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-0-7695-3287-5
DOI :
10.1109/ICESS.2008.11
