Data Preparation
Plot, analyze, detrend, and filter time- and frequency-domain data, generate and import data
System Identification Toolbox™ software supports time-domain, frequency-domain, and frequency response data. The data must be in the MATLAB® workspace. You can import the data from external data files or manually create data arrays at the command line. After obtaining the identification data, you must prepare your data before using it to estimate models. You can do this by selecting estimation and validation data, analyzing data quality, and preprocessing the data. You can also transform data between time and frequency domains.
Categories
- Represent Data
Measure or generate data, represent data using timetables, numeric matrices, and data objects, import data into the app, manipulate complex-valued data
- Select Data for Estimation
Select data subsets, create multi-experiment data sets, 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
