【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。更多还原

【Abstract】 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.更多还原