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Abstract: With
regard to the difficult problem of extracting the accurate blend feature
parameters from a set of discrete points, a new data processing method
based on the theory of statistics and probability is proposed. This
method, including four steps: initial regression analysis, hypothesis
test, removing of noise points, regression analysis, can accurately
extract out the blend feature from the coarse parameters. The practical
application proved that the theory of statistics and probability play a
very important role in reverse engineering on feature extraction,
analysis and representation.
Key words: Reverse engineering Blend feature Statistics
CLC No: TP391
教育部优秀骨干教师基金和国家863高技术发展计划基金(863-511-942-018)资助项目. Received 20020917,
received in revised form 20030229
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