Signal Conditioning

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feature extraction

HI I am looking for the labview code for the feature extraction of a signal through FFT and wavelet. Features like kurtosis, root mean square (RMS), Peak-to-peak value variance, crest factor and skewness Anyone have some helping code Or tutorial please share it, or send me on my email address:


Another question is that the labview can do the classification of extracted features through neural network?






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Hi Adam,


I think that most of the analysis functions you're looking for live in the Mathematics » Statistics and Probability Palette.  Kurtosis, skewness, and RMS finding functions exist on that palette, and I believe you'll be able to build a simple algorithm to calculate Peak-to-Peak variance.


Could you also clarify your question about neural networks?




-Dave C.

Applications Engineer
National Instruments
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