Wavelet decomposition (Meyer) for a signal

Hi everyone,

I want to decompose a signal with wavelet decomposition. The aim is to compare the IMF from EMD with wavelet decomposition.

Initially i used this function

[c,l] = wavedec(x,n,wname) returns the wavelet decomposition of the 1-D signal x at level n using the wavelet wname. The output decomposition structure consists of the wavelet decomposition vector c and the bookkeeping vector l, which contains the number of coefficients by level.

with:

A: raw data

n: 8

wname: meyer

When i try this i have this message:

[C,S] = wavedec(A,8,meyer);

Not enough input arguments.

Error in meyer (line 34)

tmp = log(N)/log(2);

What is the problem?

Is this the best way to obtain a multi-scale decomposition with Wavelet's method?

Thanks.