The purpose of this application is to use ARM-cmsis-DSP on non-ARM processors.

To use the examples of this repository, it is necessary to go to the desired folder and run the make command

cd  arm_matrix_example
make build
make run

In the gcc_fir_gnuplot folder, there is a Python notebook file that simulate the FIR filter by used to cmsis_dsp wrapper and the C++ code to use the cmsis_dsp library is available. We need to install Anaconda for Python execution library or use google colab for run python notebook.

And to run the C++ program, we need to install GNU Plot. for install gnuplot on debian machine, please run this commnad

sudo apt install gnuplot

finally, when execute command make build and make run on gcc_fir_gnuplot folder, so show this image:

it is to similar scipy FIR and cmsis-dsp wrapper output in the notebook file

finally we can check bot mean and variance on jupyter notebook and c++

for python notebook:

sin noisy mean:  0.0
sin noisy var:  0.51948
fir mean:  0.010776961394674657
fir var:  0.465838732679487

for C++

Mean SIN: -0.00129333
Variance SIN: 0.520287
Mean FIR: 0.0116191
Variance FIR: 0.460044