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1. MathTBox Class (Fast Fourier Transform - FFT):
If you need to compute Fast Fourier Transform (FFT) in .NET you can choose among many libraries. In order to use them properly, however, you should have a strong background in mathematics. Many developers, for example, have a hard time to decide how to scale the output of the FFT routine(s) for to obtain the correct amplitude spectrum, or how to extract the corresponding frequencies. Similar problems occur if one wants to compute the IFFT or tries to code some kind of frequency domain filter. As C# and VB developers with many years of experience in the industry we have seen how such difficulties can consume many hours of working time.
Wouldn't it be much easier if you could pass to the FFT-function an array of doubles containing the sampled time domain signal as a parameter and get the resulting FFT in just one line of code? And all the amplitudes come out correctly scaled?
Well search no more! MathToolBox for .NET is here to help you.
It is VERY well documented. Has example code in C# and soon in VB.NET. Is free to download. Has no royalty fees for the resulting code distribution.
Oh wait a minute there is more? - it comes packed with inverse FFT (Fast Fourier Transform)? which is just as easy to use?
Keep on reading you'll see!
You don't by any chance included two dimensional Fast Fourier Transform (FFT) - which is also easy to call?
Of course we did and even we included inverse 2 dimensional Fast Fourier Transform (FFT)!
OH Cool! tell me where to try it!
You can download it for free in the bottom of the page, BUT wait a minute there is even more.
What more could I need?
How about filter? BAND PASS, LOW PASS, HIGH PASS? Just as easily accessed? One line of code?
You don't say?!?
Oh we say! You can filter out unwanted frequencies from your signal just as easily as Hello World, see
the examples below.
Finally we have included some polynomial fitting routines which may come in handy when you start charting your results.
Ok you have me now what should I do to use this toolbox?
Just register in the site download the library and buy installations - the entire process is automated. Also take a look at the FAQ page if you have any additional questions.
Forecasting based on the analysis time series is used for many applications suchas sales, supply chain, earthquakes, workload projections and others. The field ofthe time series analysis has been evolving at a fast pace in the past decades. Avast amount of univariate, multivariate, linear and nonlinear models andprocedures have been developed. On the one hand, the complexity of the arisingproblems often requires the supervision of an expert, adept at the art and scienceof time series analysis. On the other hand, in many cases an automaticapproach is unavoidable or desired. This could be the case when a largenumber of series have to be analyzed, or when for practical reasons thesame method has to be applied to all series, or when the results must bereproducible. The automated predictions are often used as a reference or asa starting point for an analysis supervised by an expert. An automatedprocedure has to fulfill various requirements. It has to be sufficiently accurate,fast, robust, cheap and easy to use. Furthermore the results have to beeasy to interpret and reproduce. As .NET developers for the industry, wequite often have to deal with customers asking about such automated timeseries analysis. As we do not feel that the available solutions fully meet theaforementioned requirements, we dared to take the big challange anddevelop our own class for time series prediction. So now the time has comeand we can present the result of this project: the EzForecasting-class.
The EzForecasting class implements prediction of the future values of timeseries in terms of a finite number of past values. The forecasting algorithmdoes not depend on any particular process model (e.g. AR, MA, ARMAetc.) and is applicable to every time series, which is or can be reduced tostationary.EzForecasting Class