rloess matlab function Search Results


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Rloess, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Q 10 as a function of frequency for nine chinchillas, the probe frequency ranges from 1 to 12 kHz. The (blue) filled dots connected with dashed lines are the calculated mean values. The error bars indicate the standard errors of the mean; they are omitted for single measured data points. The red line is calculated with a <t>RLOESS</t> <t>function</t> <t>(MATLAB).</t>
Rloess Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/rloess function/product/MathWorks Inc
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Q 10 as a function of frequency for nine chinchillas, the probe frequency ranges from 1 to 12 kHz. The (blue) filled dots connected with dashed lines are the calculated mean values. The error bars indicate the standard errors of the mean; they are omitted for single measured data points. The red line is calculated with a <t>RLOESS</t> <t>function</t> <t>(MATLAB).</t>
Weighted Linear Least Squares Robust Regression Method Rloess, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc rloess function within matlab s curve fitting toolbox
Q 10 as a function of frequency for nine chinchillas, the probe frequency ranges from 1 to 12 kHz. The (blue) filled dots connected with dashed lines are the calculated mean values. The error bars indicate the standard errors of the mean; they are omitted for single measured data points. The red line is calculated with a <t>RLOESS</t> <t>function</t> <t>(MATLAB).</t>
Rloess Function Within Matlab S Curve Fitting Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Q 10 as a function of frequency for nine chinchillas, the probe frequency ranges from 1 to 12 kHz. The (blue) filled dots connected with dashed lines are the calculated mean values. The error bars indicate the standard errors of the mean; they are omitted for single measured data points. The red line is calculated with a <t>RLOESS</t> <t>function</t> <t>(MATLAB).</t>
Rloess Matlab Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/rloess matlab function/product/MathWorks Inc
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MathWorks Inc software package function smooth with rloess option
Q 10 as a function of frequency for nine chinchillas, the probe frequency ranges from 1 to 12 kHz. The (blue) filled dots connected with dashed lines are the calculated mean values. The error bars indicate the standard errors of the mean; they are omitted for single measured data points. The red line is calculated with a <t>RLOESS</t> <t>function</t> <t>(MATLAB).</t>
Software Package Function Smooth With Rloess Option, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Q 10 as a function of frequency for nine chinchillas, the probe frequency ranges from 1 to 12 kHz. The (blue) filled dots connected with dashed lines are the calculated mean values. The error bars indicate the standard errors of the mean; they are omitted for single measured data points. The red line is calculated with a <t>RLOESS</t> <t>function</t> <t>(MATLAB).</t>
Rloess Matlab, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/rloess matlab/product/MathWorks Inc
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MathWorks Inc smooth function set to rloess method
Q 10 as a function of frequency for nine chinchillas, the probe frequency ranges from 1 to 12 kHz. The (blue) filled dots connected with dashed lines are the calculated mean values. The error bars indicate the standard errors of the mean; they are omitted for single measured data points. The red line is calculated with a <t>RLOESS</t> <t>function</t> <t>(MATLAB).</t>
Smooth Function Set To Rloess Method, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Q 10 as a function of frequency for nine chinchillas, the probe frequency ranges from 1 to 12 kHz. The (blue) filled dots connected with dashed lines are the calculated mean values. The error bars indicate the standard errors of the mean; they are omitted for single measured data points. The red line is calculated with a RLOESS function (MATLAB).

Journal: JARO: Journal of the Association for Research in Otolaryngology

Article Title: Auditory Nerve Frequency Tuning Measured with Forward-Masked Compound Action Potentials

doi: 10.1007/s10162-012-0346-z

Figure Lengend Snippet: Q 10 as a function of frequency for nine chinchillas, the probe frequency ranges from 1 to 12 kHz. The (blue) filled dots connected with dashed lines are the calculated mean values. The error bars indicate the standard errors of the mean; they are omitted for single measured data points. The red line is calculated with a RLOESS function (MATLAB).

Article Snippet: The red line is calculated with a RLOESS function (MATLAB).

Techniques:

Comparison between directly obtained Q factors (Fig. 8) and Q factors from an estimated ROEX filter function using a power spectrum model for masking. A Q 10 and B Q ERB. Q values for three cats are plotted against probe frequencies ranging from 0.5 to 14 kHz. The blue symbols indicate Q values from CAP; the red symbols are extracted from the fitted ROEX filter function. The lines are trend lines calculated with a RLOESS function available in MATLAB. The black line in A is the relationship between the sharpness of the two trend lines (ROEX-Q 10/direct-Q 10).

Journal: JARO: Journal of the Association for Research in Otolaryngology

Article Title: Auditory Nerve Frequency Tuning Measured with Forward-Masked Compound Action Potentials

doi: 10.1007/s10162-012-0346-z

Figure Lengend Snippet: Comparison between directly obtained Q factors (Fig. 8) and Q factors from an estimated ROEX filter function using a power spectrum model for masking. A Q 10 and B Q ERB. Q values for three cats are plotted against probe frequencies ranging from 0.5 to 14 kHz. The blue symbols indicate Q values from CAP; the red symbols are extracted from the fitted ROEX filter function. The lines are trend lines calculated with a RLOESS function available in MATLAB. The black line in A is the relationship between the sharpness of the two trend lines (ROEX-Q 10/direct-Q 10).

Article Snippet: The red line is calculated with a RLOESS function (MATLAB).

Techniques: Comparison

Dependence of Q factors on probe frequency in cats. A Q 10 values for four cats are plotted against probe frequencies ranging from 0.5 to 14 kHz. The blue-filled dots connected with dashed lines are the mean values. The error bars indicate the standard errors of the mean; they are omitted for single data points. The red line is a trend line calculated with a RLOESS function (MATLAB). B Same as A, but for Q ERB for three cats.

Journal: JARO: Journal of the Association for Research in Otolaryngology

Article Title: Auditory Nerve Frequency Tuning Measured with Forward-Masked Compound Action Potentials

doi: 10.1007/s10162-012-0346-z

Figure Lengend Snippet: Dependence of Q factors on probe frequency in cats. A Q 10 values for four cats are plotted against probe frequencies ranging from 0.5 to 14 kHz. The blue-filled dots connected with dashed lines are the mean values. The error bars indicate the standard errors of the mean; they are omitted for single data points. The red line is a trend line calculated with a RLOESS function (MATLAB). B Same as A, but for Q ERB for three cats.

Article Snippet: The red line is calculated with a RLOESS function (MATLAB).

Techniques:

Comparison between left/right single-sided and (symmetrical) double-sided noise masker MTCs. The measured probe frequencies are: A 5 kHz (L p = 35 dB), B 8 kHz (L p = 30 dB), C 4 kHz (L p = 50 dB), and D 8 kHz (L p = 40 dB). The trend lines are obtained with RLOESS and spline smoothing (MATLAB); the dashed blue line and blue circles denote the standard double-sided condition, the red line and left triangles denote the left single-sided masker condition, and the green line and right triangles denote the right single-sided masker condition. The masker reference levels are: A asym L = 31 dB, asym R = 32 dB, sym = 28 dB; B asym L = 26 dB, asym R = 28 dB, sym = 23 dB; C: asym L = 30 dB, asym R = 37 dB, sym = 30 dB; D asym L = 26 dB, asym R = 40 dB, sym = 31 dB.

Journal: JARO: Journal of the Association for Research in Otolaryngology

Article Title: Auditory Nerve Frequency Tuning Measured with Forward-Masked Compound Action Potentials

doi: 10.1007/s10162-012-0346-z

Figure Lengend Snippet: Comparison between left/right single-sided and (symmetrical) double-sided noise masker MTCs. The measured probe frequencies are: A 5 kHz (L p = 35 dB), B 8 kHz (L p = 30 dB), C 4 kHz (L p = 50 dB), and D 8 kHz (L p = 40 dB). The trend lines are obtained with RLOESS and spline smoothing (MATLAB); the dashed blue line and blue circles denote the standard double-sided condition, the red line and left triangles denote the left single-sided masker condition, and the green line and right triangles denote the right single-sided masker condition. The masker reference levels are: A asym L = 31 dB, asym R = 32 dB, sym = 28 dB; B asym L = 26 dB, asym R = 28 dB, sym = 23 dB; C: asym L = 30 dB, asym R = 37 dB, sym = 30 dB; D asym L = 26 dB, asym R = 40 dB, sym = 31 dB.

Article Snippet: The red line is calculated with a RLOESS function (MATLAB).

Techniques: Comparison