I've been reading time series data off of an accelerometer, and converting it to one RMS acceleration in g. The sensor works in a range of 0-6.4 kHz approximately. Ideally i would like to restrict the range to 10 - 5000 Hz, i however there is no direct way or setting to modify this on the sensor.

Hence i'm thinking of getting all the time series data, and performing an FFT. Then removing any unwanted frequency by setting their values to zero, perform an inverse FFT and calculate my new RMS acceleration based on the new signal.

Does this make sense from a DSP point of view?

Also, should i remove all the negative frequency components too, before performing the inverse FFT?

I'm doing this on python using numpy library.


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