客观的：Learn to easily import and visualize multiple signals or time series data sets to gain insights into the features and trends in the data.

• Import, visualize, and browse signals to gain insights
• Make measurements on signals
• 比较时间和频域中的多个信号
• Perform interactive spectral analysis
• Extract regions of interest for focused analysis
• 再现分析自动生成的MATLAB代币ts

客观的：使用诸如重采样，删除异常值和填充间隙的操作之类的操作来学习清洁信号集的技术。

• 执行重采样以确保跨信号的共同时间基础
• Work with non-uniformly sampled data
• 在数据中查找差距并删除或填补空白
• 去除噪声和不需要的频率内容
• 执行小波去噪
• Use the envelope spectrum to perform fault analysis
• 在数据中定位异常值并用可接受的数据替换它们
• Locate signal changepoints and use boundaries to automatically create signal segments

客观的：Apply different techniques in time and frequency domains to extract features. Become familiar with the spectral analysis tools in MATLAB and explore ways to bring out features for multiple signals.

• 找到山峰
• Locate desired signals from patterns in the time and spectral domains
• 使用光谱分析来提取信号的特征
• 使用监督学习进行分类
• 使用分类学习者应用程序以交互式列车和评估分类算法