Normalised bispectrum of higher order spectra
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Hi, I am working on Higher order spectra (bispectrum). I have calculated the bispectrum using the toolbox command([bspec, waxis] = bispeci(y, nlag, samp_seg, overlap, flag, wind)). After this i want to calculate the normalized bispectrum. Is there a way to normalize bispectrum giving the bounded values between (0-1)??
2 件のコメント
NITIN KUMAR
2015 年 5 月 11 日
Sir,
I read your paper titled "Detection of emotions in Parkinson's disease using higher order spectral features from brain's electrical activity" - 11/2014.
I am working on a similar problem and I require to compute the normalized bispectral entropy and normalized bispectral squared entropy.
Is it necessary to normalize the bispectrum to the interval [0-1] to calculate the above mentioned features? If so, is there an in built function that computes the same?
Hritik Bansal
2020 年 6 月 4 日
編集済み: Hritik Bansal
2020 年 6 月 4 日
Hi, I am working on EEG signals, and I wanted to know whether there is any built in functions to compute the normalized bispectral entropy and normalized bispectral squared entropy. I am new to this field and I am not able to compute the entropies.
Thanks!
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