I am analyzing accelerometer recordings that are contaminated by 'spikes' caused by issues in the digital circuitry. The spikes are problematic, because I wish to determine the peak-amplitude from these signals using an automated procedure from a large number (hundreds, perhaps thousands) of these recordings. Hence, manually determining the amplitudes is possible, but not preferred.
The acceleration recordings are oscillatory in nature and reach frequencies of ~200 Hz. I am planning on using a low-pass filter in Matlab to remove the contaminating spikes in the signal. Sample rate is around 730 Hz. An FFT-based filter may be complicated by the fact that the signal gradually increases and decreases in frequency over time.
Here is a picture of an example recording including the pesky spikes (the noise) in the first 100 ms:
I am using Matlab for signal processing and I am looking for advice on which digital filter for use as a high-pass filter? For example, Butterworth and Chebyshev filters are quite commonly applied if I am not mistaken, but why? Will wavelets do me any good?