After adding a low-level broadband random training signal to eliminate the modeling mismatch, it removes the speech signals in the system output by using an adaptive prediction filter, and it also modifies the distortion of the training signals due to the APF by using a compensation filter. 它在引入宽带平稳训练信号克服非平稳输入自适应建模失配的基础上,用小延时预测滤波消除自适应建模的语音干扰,同时用补偿滤波来修正预测滤波导致的训练成分失真。
It is known that a local fault on gear tooth will generates a low-level impulse every time the fault contacts another gear tooth surface during meshing causing a modulation effect on the gear vibration signal and possibly exciting the structural resonances. 齿轮的局部故障将导致一对啮合的齿轮,每旋转一圈的过程中会产生低幅脉冲信号,它会和齿轮的结构共振信号产生调制现象。
However, low-level features are insufficient for many applications since they are related to the signal characteristics rather than the semantic content of music. 由于这些特征只与信号特点相关,不能反映音乐的语意内容,因此在很多应用方面,这些低层特征所表现出来的信息量是不够的。
Using on-line collected signal samples to real-time updates the model parameters, the system adapts environmental dynamic changes with better practicability and robustness. A rule-based activity recognition model mapping from low-level Bluetooth signal strength information to user high-level generalized activity has been established. 系统利用在线采集的信号实时更新模型参数,自适应环境变化,具有更好的实用性和鲁棒性。提出了一个基于规则的行为识别模型,建立底层蓝牙信号强度信息到用户高层泛化行为的映射关系。