Sample entropy is different from the research and development of a self-similar entropy does not match the count statistic, approximate entropy algorithm for improvement. Sample entropy and approximate entropy of the physical meaning of the same, that a new model of nonlinear dynamical system to produce the probability of the size of the system is mainly used to quantitatively characterize the degree and complexity of the rules. Sample entropy value is lower, the higher the sequence similarity of self-produce the new model, the lower the probability, the more simple time series the other hand, the larger the sample entropy, sequence similarity, the lower self, the higher the probability of generating new models, the time more complex sequences. Sample entropy calculation procedures VB6.0 language.

Sample Entropy-VB\data2.txt
.................\data3.txt
.................\data4.txt
.................\data5.txt
.................\data6.txt
.................\data7.txt
.................\data8.txt
.................\data9.txt
.................\Form1.frm
.................\Form1.log
.................\jinliu.txt
.................\jinliu7.txt
.................\jinliu8.txt
.................\jinliu9.txt
.................\MSSCCPRJ.SCC
.................\复件 工程1.vbp
.................\复件 工程1.vbw
.................\工程1.vbp
.................\工程1.vbw
.................\检验.txt
.................\检验7.txt
.................\检验8.txt
.................\检验9.txt
Sample Entropy-VB

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．