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What is complementary filter?
The complementary filter is a computationally inexpensive sensor fusion technique that consists of a low-pass and a high-pass filter. In this application of inertial-sensor-based attitude estimation, the gyroscope’s dynamic motion characteristics are complementary to that of the accelerometer and magnetometer.
What is bandwidth of accelerometer?
In analog-output accelerometers, bandwidth is defined as the signal frequency at which the response falls to -3dB of the response to DC (or low-frequency) acceleration.
How to filter accelerometer data noise Stack Overflow?
Look for AccelerometerFilter.h / .m on Google (or grab Apple’s AccelerometerGraph sample) and this link: http://en.wikipedia.org/wiki/High-pass_filter (that’s what Apple’s code is based on). There is some pseudo-code in the Wiki, too. But the math is fairly simple to translate to code.
How to pick the correct filter for accelerometer data?
If y is the noisy signal and x is the signal to be estimated, the function to be minimized is μ ‖ x − y ‖ 2 + ‖ D x ‖ 1, where D is the finite differences operator. The problem is that your noise has a flat spectrum. If you assume white Gaussian noise (which turns out to be a good assumption) its power spectrum density is constant.
How to do a FFT on an accelerometer?
EDIT: A little bit of code: So essentially, ive performed a FFT on my accelerometer data, giving Sz, filtered high frequencies out using a simple brick wall filter (I know its not ideal). Then ive use omega arithmetic on the FFT of the data.
How to filter salt and pepper data from noise?
Median filters are used to remove salt and pepper noise in two dimensional data. In this one dimensional data that you have the peaks you want to remove are high intensity points analogous to salt and pepper in 2D. I would recommend a median filter as well, it will help get rid of those spikes and change very little else.