nluetts/noisysignalintegration.jl

NoisySignalIntegration.jl

A tool to determine uncertainty in numeric integrals of noisy x-y data.

NoisySignalIntegration implements a method to determine the uncertainty in numeric integrals of noisy x-y data on the basis of a Monte-Carlo process. It can include uncertainty due to noise, baseline subtraction, and placement in integration bounds. To do this, the integration is repeated many times while the noise of the data, baseline, and integration bounds are varied based on a noise model and user supplied probability distributions.

To view the documentation, click the badge below:

Installation

The package is not yet registered in Julia's general package registry, you have to install it directly from this Github repository.

To install it for your project, enter the package mode in the Julia REPL (press ]) and type:

add https://github.com/nluetts/NoisySignalIntegration.jl

While still in package mode, you can type

test NoisySignalIntegration

to run the package's unit tests.

Getting Started

Check out the documentation to learn how to use the package.

If you don't have a local Julia installation, you can test the package on mybinder.org. Click the badge below and open one of the example notebooks:

Contributing and Support

If you have problems with the package, submit an issue. Feel free to fork the project and open a pull request if you would like to contribute.