Data Preparation

• Data Preparation Basics
  Supported data, ways to obtain and prepare data
  
• Represent Data
  Measure or generate data, import in GUI or represent using data objects, manipulate complex data
  
• Select Data for Estimation
  Select data subsets, specify estimation and validation data
  
• Analyze Data
  Determine data characteristics such as delay, feedback, and excitation level
  
• Preprocess Data
  Remove means, offsets, and linear trends; reconstruct missing data, change data sampling rate
  
• Transform Data
  Transform data between time and frequency domains