matlab r2014b 8.4 Search Results


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MathWorks Inc sinusoidal function
Voltage amplitudes (V) from <t>sinusoidal</t> fitting for numerically calculated data against amplitudes for experimental data and regression curve.
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Voltage amplitudes (V) from <t>sinusoidal</t> fitting for numerically calculated data against amplitudes for experimental data and regression curve.
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Image Search Results


Journal: Neuron

Article Title: Natural Variation in a Dendritic Scaffold Protein Remodels Experience-Dependent Plasticity by Altering Neuropeptide Expression

doi: 10.1016/j.neuron.2019.10.001

Figure Lengend Snippet:

Article Snippet: Statistical analyses used GraphPad Prism 7.0 and Mathworks MATLAB R2014b (8.4).

Techniques: Recombinant, Sample Prep, Sequencing, Software, Variant Assay

Journal: Neuron

Article Title: Natural Variation in a Dendritic Scaffold Protein Remodels Experience-Dependent Plasticity by Altering Neuropeptide Expression

doi: 10.1016/j.neuron.2019.10.001

Figure Lengend Snippet:

Article Snippet: MATLAB R2014b 8.4 , Mathworks , https://www.mathworks.com/products/matlab.html.

Techniques: Recombinant, Sample Prep, Sequencing, Software, Variant Assay

Voltage amplitudes (V) from sinusoidal fitting for numerically calculated data against amplitudes for experimental data and regression curve.

Journal: Materials

Article Title: Performance of a Piezoelectric Energy Harvesting System for an Energy-Autonomous Instrumented Total Hip Replacement: Experimental and Numerical Evaluation

doi: 10.3390/ma14185151

Figure Lengend Snippet: Voltage amplitudes (V) from sinusoidal fitting for numerically calculated data against amplitudes for experimental data and regression curve.

Article Snippet: For each numerical and experimental data set of 10 cycles, we fitted a sinusoidal function to the curves using MATLAB 8.4 R2014b and extracted the amplitude values.

Techniques:

Exemplary voltage curves (V) for the first three cycles at R = 0.5 MΩ ( left ) and generated power output (µW) for variable load resistances ( right ). The initial numerical data (black) were scaled (blue) with the data from the regression model based on sinusoidal input. For the Bergman load profile, the scaled voltage matches the experimental data (red) notably better, resulting in high accordance with the power output.

Journal: Materials

Article Title: Performance of a Piezoelectric Energy Harvesting System for an Energy-Autonomous Instrumented Total Hip Replacement: Experimental and Numerical Evaluation

doi: 10.3390/ma14185151

Figure Lengend Snippet: Exemplary voltage curves (V) for the first three cycles at R = 0.5 MΩ ( left ) and generated power output (µW) for variable load resistances ( right ). The initial numerical data (black) were scaled (blue) with the data from the regression model based on sinusoidal input. For the Bergman load profile, the scaled voltage matches the experimental data (red) notably better, resulting in high accordance with the power output.

Article Snippet: For each numerical and experimental data set of 10 cycles, we fitted a sinusoidal function to the curves using MATLAB 8.4 R2014b and extracted the amplitude values.

Techniques: Generated