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Frequency Limitations and Optimal Step Size for the Two-Point Central Difference Derivative Algorithm with Applications to Human Eye Movement Data

机译：两点中心差分导数算法的频率限制和最优步长及其在人眼运动数据中的应用

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作者
Bahill, A. T.; McDonald, J. D.;
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年度 1983
页码 p.1-5
总页数 5
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Eye movements; Algorithms; Derivatives(Mathematics); Low pass filters; Accuracy; Frequency response; Reprints;

机译：眼动;算法;衍生物（数学）;低通滤波器;精度;频率响应;重印;

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2. A complex optimal signal-processing algorithm for frequency-stepped CW data [J] . Wu S.M., Ybarra G.A. IEEE Transactions on Circuits and Systems. II . 1998,第6期

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3. The use of articulatory movement data in speech synthesis applications: An overview — Application of articulatory movements using machine learning algorithms — [J] . Junichi Yamagishi, Korin Richmond, Zhenhua Ling Acoustical science and technology . 2015,第6期

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5. General eyes: A Web application enabling geographers to visualize differences between multi-scale generalization algorithms. [D] . Motta, David J. 2008

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6. Optimal Step Length EM Algorithm (OSLEM) for the estimation of haplotype frequency and its application in lipoprotein lipase genotyping [O] . Peisen Zhang, Huitao Sheng, Alfredo Morabia, 2003

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7. Frequency Limitations and Optimal Step Size for the Two-Point Central Difference Derivative Algorithm with Applications to Human Eye Movement Data [O] . A. Terry, Bahill, Jack D. Mcdonald 2013

机译：两点中心差分导数算法的频率限制和最优步长及其在人眼运动数据中的应用

Frequency Limitations and Optimal Step Size for the Two-Point Central Difference Derivative Algorithm with Applications to Human Eye Movement Data

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