Importance

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Abstract

Systems and methods are provided for reducing a set of data points into a subset of best fit data points. According to one aspect, a method of adjusting a series of N data points into best fit data points for a set of sample data points that form a data source is provided. According to this method, M segments are identified, wherein M equals N-1. Each segment has endpoints defined by adjacent subset data points. An iterative process is performed that includes determining a linear interpolation error for each of the M segments, selecting a target segment (S.sub.TARGET) from the segments, and reducing the interpolation error for S.sub.TARGET by moving one endpoint of S.sub.TARGET by an increment corresponding to at least one sample data point in the series of sample data points to shorten S.sub.TARGET. Other methods and systems are provided herein.

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First Claim