The Logic Analyzer application enables the representation of the binary states of digital signals. The Logic Analyzer can both deal with purely binary signals, such as the GPIO outputs of the Raspberry Pi or Arduino board, as well as analyze different bus protocols (I2C, SPI, and UART) and decode the transmitted data. All Red Pitaya applications are web-based and do not require the installation of any native software. Users can access them via a web browser using their smartphone, tablet or a PC running any popular operating system (Mac, Linux, Windows, Android, and iOS).
Logic Analyzer application possibilities:
Basic Logic Analyzer – Without the Logic Analyzer extension module – Directly use the GPIO expansion connector of the board. Requires the 125-10/14 or 122.88-16 board!
Logic Analyzer PRO – With the Logic Analyzer extension module – Enables different logic levels, board protection and higher performance. Requires the 125-10/14 or 122.88-16 board!
The graphical user interface of the Logic Analyzer fits well into the overall design of the Red Pitaya applications, providing the same operating concept. The Logic Analyzer user interface is shown below.
Apart from the actual graph, there are again five key areas/elements into which the surface is divided:
Auto: Resets the zoom and brings the trigger event into the middle of the graph.
Run / Stop: Starts recording the input interrupts them when the recording is active.
Channels / Trigger / Measuring Tools: This menu provides controls for inputs, triggers, and guides.
Axis Control Panel: The horizontal +/- buttons enable you to select the scaling of the X–axis and to change select the time range displayed in the graph. The vertical +/- buttons change the Y–axis, and thus the height of the graph display. In addition, the setting for the time frame, trigger and sampling rate are displayed.
Status Display: Displays information about the current state of the recording (stop, wait, ready).
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The platform software is Open Source and available on Github. Device functionalities and data can be accessed through Matlab, Labview, Scilab and Python API’s.
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