# Is wavelet a Nonlinear transform, or Not? [closed]

Is wavelet a Nonlinear transform, or Not?
specifically, continuous wavelet transform with morlet function. I am studying behavior of a dynamic system, and it has nonlinear behaviour. can I employ wavelet transform?

• Maybe this will be helpful mathematica.stackexchange.com/questions/33549/… – Wojciech Nov 28 '13 at 11:08
• it't not answering my question, actually the link you sent is my earlier question lol @WojciechSitkiewicz – SAH Nov 28 '13 at 11:11
• Sorry, my bad :) – Wojciech Nov 28 '13 at 11:14
• As much as I would like to answer your question - as it is asked right now - I does not belong to the MMA StakcExchange... Long story - short: It depends. Check out Wim Sweldens' articles on the subject. – Sektor Nov 28 '13 at 11:39
• Google ? A little bit of searching ... – Sektor Nov 28 '13 at 11:46

While it may be a complicated question about whether the Continuous Wavelet Transform (CWT) in general is a linear operator, it is possible to answer the question "experimentally" without undue hassle regarding Mathematica's implementation of the CWT. Here are two sequences, a and b and their ContinuousWaveletTransforms:

a = RandomReal[{-1, 1}, 100];
b = RandomReal[{-1, 1}, 100];
cwta = ContinuousWaveletTransform[a];
cwtb = ContinuousWaveletTransform[b];
cwtab = ContinuousWaveletTransform[a + b];


To test for linearity

Max[Abs[cwta[All, "Values"] + cwtb[All, "Values"] - cwtab[All, "Values"]]]
1.11022*10^-15


which shows that the sum of the CWTs is the sum of the individual CWTs, except for numerical roundoff error. Similarly, you can verify that ContinuousWaveletTransform[n*a + m*b] is the same as n*cwta+m*cwtb. The same also holds when using the MorletWavelet[] option in the CWT.