Title :
Application of Stochastic Resonance in Directions of Arrival
Author :
Liu Qing-hua ; Wang Ming-ming
Author_Institution :
Inf. & Commun. Coll., GuiLin Univ. of Electron. Technol., Guilin, China
Abstract :
The performance of directions of arrival(DOA) of audio or speech signals is deteriorated under lower signal-to-noise (SNR) condition. Stochastic resonance(SR)preprocessing is proposed to enhance the SNR of noisy speech signal, and the precise of DOA is improved. The output signal of SR system is the input signal of DOA estimation system by MUSIC algorithm, the experiment results show that the DOA estimation exhibits good performance even under -25dB or about.
Keywords :
direction-of-arrival estimation; signal classification; speech processing; stochastic processes; DOA estimation; MUSIC algorithm; SNR; audio signal; direction of arrival estimation; noisy speech signal; signal-to-noise ratio; speech signals; stochastic resonance preprocessing; Direction of arrival estimation; Estimation; Mathematical model; Noise; Noise measurement; Speech; Strontium;
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
DOI :
10.1109/ICIECS.2010.5678310
