Preprocessing Data from a System (System Identification Toolkit)

You can use a number of preprocessing techniques to ensure that the incoming data samples are free from external noise, scaling problems, outliers, and other corruptions. These preprocessing techniques include the following methods:

• Visually inspecting data
• Removing offsets and trends
• Filtering and downsampling
• Data Scaling

Note  To identify a system model in the frequency domain by using time-domain data, you must preprocess the time-domain data by estimating the frequency response function (FRF).

Validating the quality of the data at each step in the preprocessing procedure is important in ensuring that you accurately identify a model in the later steps of the system identification process.