I am running some tests where I am recording accelerometer measurements. I am looking to use elements of signal processing on this signal, but I am unsure about where to begin, or what my approach should be.
My ultimate goal is to be able to monitor the acceleration readings in real-time, and then display a notification when the
event occurs. As you can see around the 150,000 sample time, an
- If I am monitoring this data in real time, what sort of signal processing techniques could be implemented to react to this event?
- Would a Short-Time Fourier Transform (STFT) be an option?
I am monitoring my data in Python, and they have a decent STFT function.
The arguments of this function are as follows:
scipy.signal.stft(x, fs=1.0, window='hann', nperseg=256, noverlap=None, nfft=None, detrend=False, return_onesided=True, boundary='zeros', padded=True, axis=-1)
How do I determine optimal parameters to use to process this signal?
Are there any other methods that you folks think may help me in identifying when the
eventoccurs in real-time (as opposed to just using the magnitude of the acceleration)?
My STFT has been added above.