Noise Source Separation based on the Blind Source Separation

摘要：

The identification of acoustic source accurately is a fundamental problem in noise control. In the practical project, if the contribution of multi-source-noise to the whole was identified, and then the noise level can be reduced accordingly. To get the accurate noise signal, measurements should be possible while the machines are constantly in action. It is easier to get the mixed signals rather than individual ones. The way to separate the individual signals from the mixed ones is needed in this situation. In our paper Blind Source Separation (BSS) based on temporal predictability (James V. Stone 2001) was used to get the independent individual noise source signals. The results of simulation signals confirmed the feasibility and validity of BSS method in noise source separation and it will play an important role in noise identification, signal source identification and other fields.

关键词： Blind Source Separation (BSS) Temporal predictability Signal separation Noise source separation

作者: Yang Yang Zuoli Li Xiuqin Wang Di Zhang

作者单位: School of Engineering, Bohai University, 121013, Jinzhou, China School of Mechanical Engineering and Automation, Shandong Yingcai University, Jinan, 250104, China School of Information Science and Technology, Bohai University, 121013, Jinzhou, China Liaoning Datang international Jinzhou power generation Co.,ltd, 121001, Jinzhou, China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 2240-2244

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）