Description

The current repository contains some Python scripts for:

• Generating a noisy signal
• Calculating the coefficients of a finite impulse response (FIR) filter
• Applying the filter to noisy signal
• Comparing signals on charts
• Performing a fast Fourier transform (FFT) to evaluate filtering efficiency

Notes

Despite the fact that CMSIS DSP software library is designed to work alongside with Cortex-based MCUs,
this time windows machine is used because of its extended debug capability.
So CMSIS arm_fir_f32 and arm_fir_init_f32 functions are implemented in form of DLL with minor changes
to be used by a console application.

Sequence of application

1. Run GenerateSignal.py

2. Use GetCoefficients.ipynb to interract with notebook and calculate filter coefficients
3. In arm_fir_example_f32.cpp replace definitions and coefficients with new values
4. Run fir.exe to get filtered signal values
5. Run CompareSignal.py

6. Run PerformFFT.py