Data Preparation
Plot, analyze, detrend, and filter time- and frequency-domain data, generate and import data
Categories
- Data Preparation Basics
Supported data, ways to obtain and prepare data
- 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, 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
