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Accelerometer and Filter
Filters are one of the fundamental elements of modern digital signal processing technologies.
In the digital era, digital filters play a vital role in almost all electronic devices. Thus it is beneficial to have a hands-on experience with digital filters. The high sampling rate of SensorStick can offer such an opportunity, users can easily play with different real-time digital filters and compare their performance.
In this application, users can compare the raw accelerometer data, moving average, frequency spectrum and filtered data. Notice that the moving average is a simplest low pass filter, but it is surprisingly effective in removing random noise. Other digital filters we offer here include low pass filter, high pass filter and band pass filter.
Matlab program (Run appGUI_accel_filter.m)
 click on image to view large
wiki intro to Fourier Transform
Wiki intro to fast Fourier transforms (FFT)
Go to Download for MATLAB-Project-Accelerometer and
Filter
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