基于贝叶斯证据框架下的最小二乘小波支持向量机，设计了一种新型模拟电路故障诊断方法。
Based on least squares wavelet support vector machines (LS-WSVM) within the Bayesian evidence framework, a systematic method for fault diagnosis of analog circuits was proposed.
该方法使用一个自适应小波网络和多个固定小波网络作为子模型，针对每个子模型设计相应的小波网络控制器。
Several fixed models with one adaptive model are used as sub-models in this method. And the wavelet networks controllers are designed according to the corresponding identifiers.
本课题基于小波理论设计软件算法，提出了模极值线群方法，抽取心电信号中若干具有临床价值的特征：QRS波群组态及其起点和终点、T波、S-T段。
In this paper, several characteristics of ECG from patients, such as QRS complex and its onset and offset T wave and S-T segment, has been detected using wavelet method.
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