摘要
针对如何利用声信号对目标进行准确识别,以背景信号和车辆信号为研究对象,采用K-NN算法和BP网络算法,对声信号的分类器进行了研究和设计。并以Window XP为仿真平台,Visual C++6.0为开发工具,编写相应程序。仿真结果表明:此算法能有效地对声目标进行分类识别,具有良好的应用性和实用性。
In the light of how to use acoustic signal to identify target accurately, based on the background signal and vehicle signal as the research object, using the K nearest neighbour algorithm and Back-propagation neural network algorithm, the classifier of acoustic signal is researched and designed. Corresponding programs are compilied with Window XP as the simulation platform, the Visual C ＋ ＋ 6.0 as development tool. The simulation results show that this algorithm can classificate acoustic target effectively and has good applicability and practicability.
出处
《电声技术》
2014年第10期53-55,79,共4页
Audio Engineering
关键词
声信号
分类器
K-NN算法
BP算法
acouctic signal
classifier
K- Nearest Neighbour algorithm
back-propagation algorithm
