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- 基于AR参数模型与聚类分析的肌电信号模式识别方法The Method of Surface EMG Pattern Recognition Based on AR Parameter Model and Clustering Analysis
- AR参数模型AR parameter model
- 通过Otto Bock电极采集肌电信号进行实验,实验结果表明,AR参数模型可以获得较好的肌电信号识别效果。Collected by Otto Bock electrodes, the experiment results reveal that AR model is able to achieve acceptable EMG pattern identification effects.
- 本文对道路现场采集到的两种车型共计74个信号进行分析,实验结果表明:通过AR参数模型提取车辆车外噪声特征实现车型自动分类是可行的,其分类的正确率达80%以上。74 signals of two types of vehicle collected on road in situ were analyzed. The results show that it is feasible to realize the automatic vehicle classification by the features of radiated noise extracted by the AR model,and the correctness rate of the classification is higher than 80%25.
- AR参数法AR parameter method
- 基于参数模型和独立分量分析的事件相关诱发电位单次提取Extraction of Single-trial Event-related Potentials by Means of ARX Modeling and Independent Component Analysis
- 灰色预测参数模型新模式及其在电气绝缘故障预测中的应用New gray prediction parameter model and its application in electrical insulation fault prediction
- 双参数模型two parameter model
- 变参数模型variable parameter model
- 一参数模型one-parameter model
- 仿射参数模型affine parameter model
- 动态参数模型dynamic parameter model
- 头部参数模型head parameter model
- 可变参数模型variable parameters model
- 累积参数模型lumped-parameter model
- 多体参数模型multi-body parameter model
- 单一参数模型one-parameter model
- 冗余参数模型redundant-parameter model
- 正则参数模型regular parameter model
- 储层参数模型reservoir parameter model