计算机工程 ›› 2011, Vol. 37 ›› Issue (18): 269-271.doi: 10.3969/j.issn.1000-3428.2011.18.090

• 开发研究与设计技术 • 上一篇    下一篇

司法消噪算法改进及关键参数优化

李华来,许继平,刘载文,王小艺   

  1. (北京工商大学计算机与信息工程学院,北京 100048)
  • 收稿日期:2011-02-23 出版日期:2011-09-20 发布日期:2011-09-20
  • 作者简介:李华来(1986-),男,硕士研究生,主研方向:消噪算法,信号处理;许继平,讲师、博士;刘载文,教授、博士;王小艺,副教授、博士
  • 基金项目:

    北京市高校人才强教计划基金资助项目(PHR201007123, PHR201008238);广东省科技厅基金资助项目“同步变位与同步悬空腹变压装置在严重呼吸衰竭的应用与开发”(2007B031507010);呼吸疾病国家重点实验室开放课题研究基金资助项目;北京工商大学研究生科研学术创新基金资助项目

Improvement of Judicature De-noising Algorithm and Optimization of Key Parameters

LI Hua-lai, XU Ji-ping, LIU Zai-wen, WANG Xiao-yi   

  1. (College of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China)
  • Received:2011-02-23 Online:2011-09-20 Published:2011-09-20

摘要: 对智能人工呼吸床系统的司法消噪算法进行改进,将司法处理思想引入时间序列消噪中,提出一种新的呼吸周期预测算法。在此基础上完善司法消噪算法的法规综合处理函数,优化影响消噪效果的关键参数(违法因子、制定噪声法规所需的依据数据数目、第i个立法数据权值及最大举证数据数目)。实验结果证明,改进的算法对所处理的信号序列要求较低,适用范围更广,预测效果更好。

关键词: 智能人工呼吸床, 呼吸周期预测, 司法消噪算法, 违法因子, 立法数据

Abstract: This paper improves Judicature De-noising Algorithm(JDNA) in intelligent mechanical ventilation bed system. The judicature process is induced into the de-noising disposal of time series in algorithm, which builds a new de-nosing algorithm. On this basis, this paper optimizes key parameters that affect de-noising effects: illegal factor, the number of data used to formulate noise regulation, the first i legislative data weight, the number of largest evidence data. Through improvements upon the algorithm, it is relatively loose for requirements applicable scope of handling signal sequences, wide for applicable scope, the forecasting effect is obvious, to achieve the ideal of the treatment effect.

Key words: intelligent mechanical ventilation bed, breath period prediction, Judicature De-noising Algorithm(JDNA), illegal factor, legislative data

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