Correcting for Bias in Aggregate Functions of Time Series Measurements

Global positioning system (GPS) can be used to estimate the distance traveled by a person or object.  However, there are biases and noise in the GPS data collected which result in the calculations being inaccurate.  If the path traveled is a straight line, GPS tends to overestimate the distance traveled, while if the path traveled is zig-zagged, GPS underestimate the distance traveled.  The present technology provides a method of removing these biases in order to improve the accuracy of the calculations in distance traveled.

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