The *stmdsp* project enables certain STM32 development boards to be used as a digital signal processing (DSP) education tool. The solution is portable, and can be used without any external tools or lab equipment.
The *stmdsp* project enables certain [NUCLEO development boards](https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html) to be used as an educational tool for digital signal processing (DSP). The solution is portable, and can be used without any external tools or lab equipment.
The project consists of three parts: the firmware, which allows users to upload custom DSP algorithms to process signals in real-time; the hardware, which provides the necessary circuitry for interfacing with signals and the host computer; and the computer software, a program currently named [stmdspgui](https://code.bitgloo.com/clyne/stmdspgui) that facilitates algorithm design and execution while also providing numerous analysis features.
The project consists of three parts:
1. Firmware that allows users to upload custom DSP algorithms to process signals in real-time.
2. A [custom add-on board](https://code.bitgloo.com/clyne/stmdsp/wiki/DSP-add-on-board) which provides the necessary circuitry for interfacing with signals and the host computer.
3. [Computer software](https://code.bitgloo.com/clyne/stmdspgui) that facilitates algorithm design and execution while also providing numerous analysis features.
## Features
* Real-time signal processing: signal readings from the ADC are streamed through the loaded algorithm and outputted over the DAC.
* Supports signal sampling rates from 8kS/s up to 96kS/s.
* Real-time signal processing: signal readings from the ADC are streamed through the loaded algorithm binary and out the DAC.
* Custom algorithms are uploaded to the hardware at run-time, enabling a fast design and test process.
* Supports signal sampling rates from 8kS/s up to 96kS/s, with buffer size of up to 4,096 samples.
* Supports signals between -3.3V and +3.3V, with adequate protection for the development board.
* Custom algorithms are uploaded to the hardware at run-time, enabling a faster design and test process.
* Parameter knobs allow for algorithm adjustments while the algorithm is running.
* An on-board signal generator eliminates the need for external generators.
* Numerous analysis features, including signal visualization and measuring algorithm execution time, eliminate the need for other external tools.
* Two parameter knobs allow for algorithm adjustments while the algorithm is running.
* An on-board signal generator eliminates the need for inputs from external hardware.
* Numerous analysis features, including signal visualization and algorithm execution time measurement, eliminate the need of other equipment such as oscilloscopes.
