| 摘要 |
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</SUB>) from the segments, and reducing the interpolation error for S<SUB>TARGET </SUB>by moving one endpoint of S<SUB>TARGET </SUB>by an increment corresponding to at least one sample data point in the series of sample data points to shorten S<SUB>TARGET</SUB>. Other methods and systems are provided herein.
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