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3-Band Parametric Audio Equalizer Using UDP Packets and Code Generation

This example shows how to design a 3-band parametric audio equalizer and use UDP packets to send the filter coefficients to standalone generated code via UDP packets. The example allows you to dynamically adjust the coefficients of the filters using a graphical user interface (GUI). The example also shows you how to use the MATLAB Coder product to generate code for the algorithm and create a standalone executable file that you can run outside of MATLAB.

Required MathWorks™ products:

  • DSP System Toolbox™

  • MATLAB Coder™


Parametric equalizers are often used to adjust the frequency response of an audio system. For example, a parametric equalizer can be used to compensate for physical speakers which have peaks and dips at different frequencies.

The parametric equalizer algorithm in this example provides three second-order (biquadratic) filters whose coefficients can be adjusted to achieve a desired frequency response. You can adjust the filter coefficients and explore the results by using the included graphical user interface (GUI). When you modify the filter specifications in the GUI, the updates get sent back to the algorithm via UDP packets. When you use MATLAB Coder to generate code, the algorithm is automatically translated into C-code which is then compiled to create a standalone executable (EXE) file. You can run this EXE file on a PC without MATLAB or any library dependencies. The same GUI can be used to adjust the filter coefficients while the generated EXE is being executed on the host PC.

Example Architecture

This example consists primarily of 2 MATLAB functions:

  1. paramequalizer.m - parametric equalizer algorithm code

  2. paramequalizer_GUI.m - graphical user interface code

You can run the algorithm code independently in MATLAB or through the GUI itself. The primary purpose of the GUI is to allow you to easily adjust the frequency specification of each band of the filter and pass the new set of specifications directly to the algorithm. The GUI uses UDP System objects to pass the filter specifications back to the algorithm.

In addition to the parametric equalizer algorithm and GUI, this example also provides a short code generation script, paramequalizer_codegen.m, which allows you to generate C-code from the algorithm and build an executable file. Once you run this script, you can then run the executable file from the GUI by selecting the 'Run Executable' check box.

Currently, the algorithm is configured to work with 44100 Hz audio data. You can change this sample rate by modifying the code in line 42 of the paramequalizer.m file.

3-Band Parametric Equalizer Algorithm Code

The algorithm code consists of two primary sections: a test bench and the filtering algorithm.

The testbench portion of the code takes care of the inputs and outputs, setting up the System objects, and streaming the audio in a loop.

The filtering algorithm functions generate the filter coefficients and construct three dsp.BiquadFilter System objects to perform the 3-band filtering of the audio frames.

The parametric equalizer algorithm uses UDP System objects to read the filter band specifications that are sent by the GUI. The UDP System objects are supported for code generation, so the standalone executable file you create by generating and building the C-code also communicates with the GUI via UDP packets.

Open the algorithm in the MATLAB editor: paramequalizer.mparamequalizer.m

Graphical User Interface Code

This example provides a custom GUI, programmed in MATLAB, that allows you to dynamically adjust the filter coefficients. The GUI allows you to set the specification of each filter band, namely the center frequency, attenuation/gain, and bandwidth. Each time you click and drag one of the graphical objects (lines or markers), the GUI re-captures the specifications of each filter band. The GUI then uses a dsp.UDPSender System object to package the new specification and broadcast it as a UDP packet which can be read by the dsp.UDPReceiver System object in the algorithm code. This process occurs whether you are executing the algorithm in MATLAB or outside of MATLAB via the standalone executable file.

To get started, Open The GUIOpen The GUI.

Generate Code and Build an Executable File

You can use MATLAB Coder to generate readable and standalone C-code from the paramequalizer.m algorithm code. Because the algorithm code uses System objects for reading and playing audio files, there are additional dependencies for the generated code and executable file. These are available in the /bin directory of your MATLAB installation.

You can use the following script to invoke MATLAB Coder to automatically generate C-code and a standalone executable from the algorithm code. paramequalizer_codegen.mparamequalizer_codegen.m

When generating code, some System objects have constraints on the type and variability of the input arguments. In this case, the dsp.AudioFileReader System object requires that you specify the name of the audio file as a constant before you can generate code.

The first two lines of the code generation script ask you to browse for and specify the input audio file. The file name you specify is then used throughout the generated code. To run the executable with a different audio file, you must re-run the code generation script and specify the name of the new audio file.

Run the scriptRun the script to generate code.

After you generate the executable file, you can launch it from the GUI by selecting the 'Run Executable' checkbox before pressing the Play button. If you choose to run the executable file from the GUI, you should see performance improvements compared to when you use the GUI with the algorithm code running in MATLAB. Because MATLAB is single-threaded, both the GUI and the audio stream processing must run in the same thread. This can reduce performance because your interactions with the GUI can preempt the processing of the audio. However, by configuring the GUI to run the executable file outside of MATLAB, you eliminate the competition for resources and you can interact with the GUI without interrupting the audio processing.


For more detailed information on how to configure MATLAB Coder for different types of code generation, see the documentation: Product OverviewProduct Overview

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