- Import the ".mat" file containing accelerometer data into MATLAB.
- Extract the relevant columns for each axis from the loaded data.
- Select an appropriate wavelet type (e.g., Daubechies, Symlets) and decide on the level of decomposition.
- Apply the wavelet transform to each axis using MATLAB's wavelet functions. This step involves decomposing the signal into approximation and detail coefficients.
- Reconstruct the signal from the wavelet coefficients to analyze specific frequency components or noise levels.
- https://www.mathworks.com/help/matlab/ref/load.html
- https://www.mathworks.com/help/wavelet/getting-started-with-wavelet-toolbox.html
- https://www.mathworks.com/help/wavelet/ref/wavedec.html
- https://www.mathworks.com/help/wavelet/ref/waverec.html