8 research outputs found

    Case IV: experiments on signals of cases II and III with imposed additive Gaussian noise.

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    <p>We consider noise levels at 5% and 10% of the standard deviation of the original signals in cases II and III. (a) Ī”<i>Ļ</i> at <i>L</i> = 500 as a function of </p><p><math><mrow><msub><mi>Ī·</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>/</mo><msub><mi>Ī¼</mi><mo>ĀÆ</mo><mi>N</mi></msub></mrow></math></p> for signals of case II. (b) Ī”<i>Ļ</i> at <i>L</i> = 500 as a function of <p><math><mrow><msub><mi>Ī·</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>/</mo><msub><mi>Ī¼</mi><mo>ĀÆ</mo><mrow><mi>W</mi><mi>b</mi></mrow></msub></mrow></math></p> for signals of case III. Ī”<i>Ļ</i> = 0 and <p><math><mrow><msub><mi>Ī·</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>/</mo><msub><mi>Ī¼</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>=</mo><mn>1</mn></mrow></math></p> are shown by dashed, bold lines.<p></p

    Schematics of <i>L</i>ā€“point windows and reconstructed phase spaces.

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    <p>(a) Two timeā€“series <i>x</i>(<i>t</i>) and <i>y</i>(<i>t</i>) and a schematic of the <i>L</i>ā€“point windows with different lengths sweeping the whole span of the timeā€“series. (b) A schematic of the reconstructed phase spaces of the <i>L</i>ā€“point windows corresponding to two timeā€“series. For each <i>E</i>-dimensional Yā€“central point, <i>Y</i><sub><i>c</i></sub>, in the response reconstructed phase space, <i>M</i><sub><i>y</i></sub>, a sufficient number of nearest neighbor points are selected (empty circles, <i>Y</i><sub><i>j</i></sub>, right) and their distances, <i>d</i><sub><i>j</i></sub>, to <i>Y</i><sub><i>c</i></sub> are determined. For each neighbor point, its contemporaneous point in the driver reconstructed phase space, <i>M</i><sub><i>x</i></sub>, is determined (empty circles, <i>X</i><sub><i>j</i></sub>, left). The weighted average of these points, </p><p><math><mrow><mi>X</mi><mo>Ģ‚</mo></mrow></math></p>, is compared with <i>X</i><sub><i>c</i></sub>, the true contemporaneous point in <i>M</i><sub><i>x</i></sub> corresponding to <i>Y</i><sub><i>c</i></sub>. The CCM coefficient, <i>Ļ</i>(<i>L</i>), is defined as the correlation coefficient between <p><math><mrow><mi>X</mi><mo>Ģ‚</mo></mrow></math></p> and <i>X</i><sub><i>c</i></sub>, averaged over all possible <i>L</i>ā€“point windows.<p></p

    Case III: mixed normalā€“nonnormal coupling coefficients.

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    <p>(a) </p><p><math><mrow><mo>Ī”</mo><mi>Ļ</mi><mo>=</mo><msub><mi>Ļ</mi><mrow><mi>X</mi><mo>Ģ‚</mo><mo>āˆ£</mo><mi>Y</mi></mrow></msub><mo>āˆ’</mo><msub><mi>Ļ</mi><mrow><mi>Y</mi><mo>Ģ‚</mo><mo>āˆ£</mo><mi>X</mi></mrow></msub></mrow></math></p> at <i>L</i> = 500 as a function of <p><math><mrow><msub><mi>Ī·</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>/</mo><msub><mi>Ī¼</mi><mo>ĀÆ</mo><mrow><mi>W</mi><mi>b</mi></mrow></msub></mrow></math></p>. (b) 1000 independent realizations of <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0131226#pone.0131226.e069" target="_blank">Eq (12)</a> and the corresponding Ī”<i>Ļ</i> at <i>L</i> = 500 as a function of <p><math><mrow><msub><mi>Ī·</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>/</mo><msub><mi>Ī¼</mi><mo>ĀÆ</mo><mrow><mi>W</mi><mi>b</mi></mrow></msub></mrow></math></p>. <p><math><mrow><msub><mi>Ī·</mi><mo>ĀÆ</mo><mi>N</mi></msub></mrow></math></p> and <p><math><mrow><msub><mi>Ī¼</mi><mo>ĀÆ</mo><mrow><mi>W</mi><mi>b</mi></mrow></msub></mrow></math></p> are the mean values of <i>Ī·</i><sub><i>N</i></sub> and <i>Ī¼</i><sub><i>Wb</i></sub> over the span of the timeā€“series. Ī”<i>Ļ</i> = 0 and <p><math><mrow><msub><mi>Ī·</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>/</mo><msub><mi>Ī¼</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>=</mo><mn>1</mn></mrow></math></p> are shown by dashed, bold lines.<p></p

    Case I: periodicā€“constant coupling coefficients.

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    <p>(a) </p><p><math><mrow><msub><mi>Ļ</mi><mrow><mi>Y</mi><mo>Ģ‚</mo><mo>āˆ£</mo><mi>X</mi></mrow></msub></mrow></math></p> at <i>L</i> = 500 over the range of <i>Ī¼</i> and <i>Ī·</i> given by <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0131226#pone.0131226.e031" target="_blank">Eq (10)</a> and for random initial condition. (b) Difference between the CCM coefficients, <p><math><mrow><msub><mi>Ļ</mi><mrow><mi>Y</mi><mo>Ģ‚</mo><mo>āˆ£</mo><mi>X</mi></mrow></msub><mo>āˆ’</mo><msub><mi>Ļ</mi><mrow><mi>X</mi><mo>Ģ‚</mo><mo>āˆ£</mo><mi>Y</mi></mrow></msub></mrow></math></p>, at <i>L</i> = 500 over the specified range of <i>Ī¼</i> and <i>Ī·</i>.<p></p

    Case IV: experiments on signals of cases II and III with imposed temporal uncertainties.

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    <p>We consider temporal shifts corresponding to 2.5% and 5% of the full length of the time series in cases II and III. (a) Ī”<i>Ļ</i> at <i>L</i> = 500 as a function of </p><p><math><mrow><msub><mi>Ī·</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>/</mo><msub><mi>Ī¼</mi><mo>ĀÆ</mo><mi>N</mi></msub></mrow></math></p> for shifted signals of case II. (b) Ī”<i>Ļ</i> at <i>L</i> = 500 as a function of <p><math><mrow><msub><mi>Ī·</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>/</mo><msub><mi>Ī¼</mi><mo>ĀÆ</mo><mrow><mi>W</mi><mi>b</mi></mrow></msub></mrow></math></p> for shifted signals of case III. Ī”<i>Ļ</i> = 0 and <p><math><mrow><msub><mi>Ī·</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>/</mo><msub><mi>Ī¼</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>=</mo><mn>1</mn></mrow></math></p> are shown by dashed, bold lines.<p></p

    An example of leadā€“lag switching between two signals of a nonlinear system.

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    <p>Observation of the leading signals (shown by the colored arrows) in short intervals may result in an incorrect conclusion about the causeā€“effect relationship. The timeā€“series in this figure are generated by <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0131226#pone.0131226.e024" target="_blank">Eq (9)</a>.</p

    Case II: normally distributed coupling coefficients.

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    <p>(a) The difference between the CCM coefficients, </p><p><math><mrow><mo>Ī”</mo><mi>Ļ</mi><mo>=</mo><msub><mi>Ļ</mi><mrow><mi>X</mi><mo>Ģ‚</mo><mo>āˆ£</mo><mi>Y</mi></mrow></msub><mo>āˆ’</mo><msub><mi>Ļ</mi><mrow><mi>Y</mi><mo>Ģ‚</mo><mo>āˆ£</mo><mi>X</mi></mrow></msub></mrow></math></p>, at <i>L</i> = 500 as a function of the ratio of the averaged coupling coefficients, <p><math><mrow><msub><mi>Ī·</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>/</mo><msub><mi>Ī¼</mi><mo>ĀÆ</mo><mi>N</mi></msub></mrow></math></p>. (b) Monte Carlo simulation of 1000 independent realizations of <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0131226#pone.0131226.e048" target="_blank">Eq (11)</a> to calculate Ī”<i>Ļ</i> at <i>L</i> = 500 as a function of <p><math><mrow><msub><mi>Ī·</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>/</mo><msub><mi>Ī¼</mi><mo>ĀÆ</mo><mi>N</mi></msub></mrow></math></p>. <p><math><mrow><msub><mi>Ī·</mi><mo>ĀÆ</mo><mi>N</mi></msub></mrow></math></p> and <p><math><mrow><msub><mi>Ī¼</mi><mo>ĀÆ</mo><mi>N</mi></msub></mrow></math></p> are the mean values of <i>Ī·</i><sub><i>N</i></sub> and <i>Ī¼</i><sub><i>N</i></sub> over the span of the timeā€“series. Ī”<i>Ļ</i> = 0 and <p><math><mrow><msub><mi>Ī·</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>/</mo><msub><mi>Ī¼</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>=</mo><mn>1</mn></mrow></math></p> are shown by dashed, bold lines.<p></p

    Case IV: experiments on signals of cases II and III with imposed additive Gaussian noise.

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    <p>We consider noise levels at 5% and 10% of the standard deviation of the original signals in cases II and III. (a) Ī”<i>Ļ</i> at <i>L</i> = 500 as a function of </p><p><math><mrow><msub><mi>Ī·</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>/</mo><msub><mi>Ī¼</mi><mo>ĀÆ</mo><mi>N</mi></msub></mrow></math></p> for signals of case II. (b) Ī”<i>Ļ</i> at <i>L</i> = 500 as a function of <p><math><mrow><msub><mi>Ī·</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>/</mo><msub><mi>Ī¼</mi><mo>ĀÆ</mo><mrow><mi>W</mi><mi>b</mi></mrow></msub></mrow></math></p> for signals of case III. Ī”<i>Ļ</i> = 0 and <p><math><mrow><msub><mi>Ī·</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>/</mo><msub><mi>Ī¼</mi><mo>ĀÆ</mo><mi>N</mi></msub><mo>=</mo><mn>1</mn></mrow></math></p> are shown by dashed, bold lines.<p></p
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