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20090226
- 从盲声源信号的独立性出发!提出了一种新的盲声源混合信号分离方法:该方法基于信号联合概率的 分布统计!利用信号联合概率的方向导数熵最小获得最佳的旋转角度!最终实现盲信号分离:与快速独立分 量分析方法及神经网络方法相比!该方法不需要迭代计算:采用新的盲声源信号分离方法对轴承试验台的混 合声音信号进行识别!将电机和滚动轴承的声音分离出来!进而可以准确识别机械的故障-Blind sound source from the independence of the starting signal
technofysica_sets_small_tudelft
- 比较经典的机械振动信号,分为高频、中频和低频,可用在实验中-This is a typical vibration signal, it includes high frequency, middle frequency and low frequency. It also can be used in the experiment
Speech-Control
- 介绍以VC6.0和Microsoft Speech SDK5.1为开发工具,开发语音交互界面应用程序,实现语音控制模拟机械臂完成简单动作和关闭程序的完整过程。-introduces the VC6.0 and Microsoft Speech SDK5.1 for the development of tools to develop voice interface applications, voice controlled robotic arm simulation program to