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Low Pass and High Pass filters detailed explanation

Low Pass and High Pass filters detailed explanation here is usefull link.


You can also check out adaptive filtering in this example from Apple: http://developer.apple.com/library/ios/#samplecode/AccelerometerGraph/Listings/AccelerometerFilter_m.html#//apple_ref/doc/uid/DTS40007410-AccelerometerFilter_m-DontLinkElementID_4

Just note that a high pass filter allows high frequencies to pass through and attenuates lower frequencies. The opposite is true for a low pass filter. Think of high frequency events as events that happen suddenly or fast so a sudden bump on the road will cause input with a higher frequency. A low frequency is going to be average data that you're getting from background noise, slower motion etc. 

So if you want to detect smoothed out changes you should use a low-pass filter to filter out any sudden jerky motion. If you want to detect quick instantaneous changes in input you'll need to use a high-pass filter instead. You need to think about what type of motion is happening in your use case and apply the correct filter. 
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  • Title : Low Pass and High Pass filters detailed explanation
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