Author: Paul Shirkey

Chromatographic and Spectographic Data Analysis

Data showing data peaks found
Chromatographic and spectographic data analysis is a common application of the NMath class library and usually involves some or all of the following computing activities: Noise removalBaseline adjustmentPeak findingPeak modeling Peak statistical analysis In this blog article we will discuss each of these activities and provide some NMath C# code on how they may be accomplished. This is big...
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Fitting the Weibull Distribution

The Weibull distribution is widely used in reliability analysis, hazard analysis, for modeling part failure rates and in many other applications. The NMath library currently includes 19 probably distributions and has recently added a fitting function to the Weibull distribution class at the request of a customer. The Weibull probability distribution, over the random variable x, has two para...
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NMath is Adding .NET Core Support and has Dropped Support of OSX and Linux86

Changes to Supported Operating Systems With the release of NMath 6.2.0.41, on March 10, 2018, NMath no longer supports OSX or the Linux x86 operating systems. We are dropping the support of these operating systems due to a decline of demand by our customers. Please contact us with any concerns regarding this change. This release is currently available on NuGet. Going forward NMath and NMa...
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Filtering with Wavelet Transforms

Raw ECG Signal
Discrete time wavelet transforms have found engineering applications in computer vision, pattern recognition, signal filtering and perhaps most widely in signal and image compression. In 2000 the ISO JPEG committee proposed a new JPEG2000 image compression standard that is based on the wavelet transform using two Daubechies wavelets. This standard made the relatively new image decomposition algo...
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Precision and Reproducibility in Computing

Run-to-run reproducibility in computing is often assumed as an obvious truth. However software running on modern computer architectures, among many other processes, particularly when coupled with advanced performance-optimized libraries, is often only guaranteed to produce reproducible results only up to a certain precision; beyond that results can and do vary run-to-run. Reproducibility is inte...
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