Mathematica > Data Manipulation > Signal Processing > Wavelet Analysis > MeyerWavelet >
Mathematica > Visualization and Graphics > Data Visualization > Wavelet Analysis > MeyerWavelet >
Mathematica > Data Manipulation > Numerical Data > Data Transforms and Smoothing > Wavelet Analysis > MeyerWavelet >

MeyerWavelet

MeyerWavelet
represents the Meyer wavelet of order 3.
MeyerWavelet[n]
represents the Meyer wavelet of order n evaluated on the equally spaced interval .
MeyerWavelet
represents the Meyer wavelet of order n evaluated on the equally spaced interval .
  • MeyerWavelet is defined for any positive integer n and real limit lim.
  • The scaling function () and wavelet function () have infinite support. The functions are symmetric.
  • The scaling function () is given by its Fourier transform as .  »
  • The wavelet function () is given by its Fourier transform as .
  • The polynomial is a polynomial of the form , where is the order of the Meyer wavelet.
Scaling function:
Wavelet function:
Filter coefficients:
Scaling function:
In[1]:=
Click for copyable input
Out[1]=
In[2]:=
Click for copyable input
Out[2]=
 
Wavelet function:
In[1]:=
Click for copyable input
Out[1]=
In[2]:=
Click for copyable input
Out[2]=
 
Filter coefficients:
In[1]:=
Click for copyable input
Out[1]=
Compute primal low-pass filter coefficients:
Primal high-pass filter coefficients:
Meyer scaling function of order 3:
Meyer scaling function of order 10:
Meyer wavelet function of order 3:
Meyer wavelet function of order 10:
View the tree of wavelet coefficients:
Get the dimensions of wavelet coefficients:
Plot the wavelet coefficients:
View the tree of wavelet coefficients:
Get the dimensions of wavelet coefficients:
Plot the wavelet coefficients:
MeyerWavelet can be used to perform a StationaryWaveletTransform:
View the tree of wavelet coefficients:
Get the dimensions of wavelet coefficients:
Plot the wavelet coefficients:
View the tree of wavelet coefficients:
Get the dimensions of wavelet coefficients:
Plot the wavelet coefficients:
Multivariate scaling and wavelet functions are products of univariate ones:
Low-pass filter coefficients approximately sum to unity; :
High-pass filter coefficients approximately sum to zero; :
Scaling function integrates to unity; :
Wavelet function integrates to zero; :
satisfies the recursion equation :
Plot the components and the sum of the recursion:
satisfies the recursion equation :
Plot the components and the sum of the recursion:
Frequency response for is given by :
The filter is a low-pass filter:
Frequency response for is given by :
The filter is a high-pass filter:
Fourier transform of is given by :
Compare the above result with the exact Fourier transform:
Fourier transform of is given by :
Compare the above result with the exact Fourier transform:
Plot translates and dilations of scaling function:
Plot translates and dilations of wavelet function:
New in 8
Ask a question about this page  |  Suggest an improvement  |  Leave a message for the team
Format:   HTML  |  CDF