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?
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?