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