Open MDF-files and access information about the file and its contents.

Read channel data from an MDF-file.

Read channel data applying conversion rules from an MDF-file and configure different reading options in MATLAB®.

Work with unfinalized and unsorted MDF-files. The unfinalized MDF-file used in this example, MDFUnfinalized.MF4, was recorded by a CANedge2 CAN bus data logger from CSS Electronics.

Write timetable data into an MDF-file. The MAT-file used in this example MDFTimetables.mat contains two timetables.

Customize the file, channel group, and channel metadata when writing timetable data to an MDF-file.

Process data logged in a channel group of an MDF-file and write the updated data back to the same channel group. The MDF-file used in this example VehicleData.mf4 contains data logged from two simulations in two channel groups, but the example only works with data in channel group 1.

Process data logged in a channel group of an MDF-file and write the updated data to a new file. The MDF-file used in this example VehicleData.mf4 contains data logged from two simulations in two channel groups, but the example only works with data in channel group 2.

Add attachment files to an MDF-file, remove attachment files from an MDF-file, and save attachment files embedded in an MDF-file to disk. The MDF-file used in this example VehicleData.mf4 currently has one embedded attachment named ReadMe.txt.

Import and decode CAN data from an MDF-file in MATLAB^® for analysis, and write the decoded data back to the same file.

Import and decode J1939 data from MDF-files in MATLAB® for analysis. The MDF-file used in this example was generated from Vector CANoe using the "System Configuration (J1939)" sample. This example also uses the CAN database file, Powertrain_J1939_MDF.dbc, provided with the Vector sample configuration.

Use the MDF datastore feature of Vehicle Network Toolbox™ to quickly and efficiently process a data set spread across a collection of multiple MDF-files. This workflow is also valuable when there are too much data to fit into available memory.

Work with a big data set using tall arrays and the MDF datastore feature. Tall arrays are commonly used to perform calculations on different types of data that do not fit in memory.

Investigate vehicle battery power during discharge mode across various drive cycles. The data for this analysis are contained in a set of vehicle log files in MDF format. For this example, we need to build up a mechanism that can "detect" when the vehicle battery is in a given mode. What we are really doing is building a detector to determine when a signal of interest (battery power in this case) meets specific criteria. When the criteria is met, we will call that an "event". Each event will be subsequently "qualified" by imposing time bounds. That is to say an event is "qualified" if it persists for at least 5 seconds (such a qualification step can help limit noise and remove transients). The thresholds shown in this example are illustrative only.

Programmatically map channels from MDF-files and consume their data via input ports of a Simulink® model. It performs the gathering of input port names of a Simulink model and correlates them to the content of a given MDF-file. A linkage between them is then created which consumes channel data sourced from the MDF-file when the model runs.