Main Content

Data Preparation

Plot, analyze, detrend, and filter time- and frequency-domain data, generate and import data


  • 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