scatteringTransform

Wavelet 1-D scattering transform

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Syntax

s = scatteringTransform(sf,x)
[s,u] = scatteringTransform(sf,x)

Description

s = scatteringTransform(sf,x) returns the wavelet 1-D scattering transform of x for the scattering decomposition framework, sf. x is a real-valued vector or matrix. If x is a matrix, scatteringTransform applies the scattering transform to each column of x separately. s is a cell array with Nfb + 1 elements, where Nfb is the number of filter banks in sf. The number of filter banks is also equal to the number of elements in the QualityFactors value of sf. Equivalently, the number of elements in s is equal to the number of orders in the scattering decomposition. Each element of s is a MATLAB® table.

The precision of the scattering coefficients depends on the precision specified in the framework sf.

example

[s,u] = scatteringTransform(sf,x) returns s, the wavelet 1-D scattering transform, and u, the scalogram coefficients for each of the scattering orders. u is a cell array with Nfb + 1 elements, where Nfb is the number of filter banks in the scattering framework. The number of filter banks is also equal to the number of elements in the QualityFactors value of sf. Equivalently, the number of elements in u is equal to the number of orders in the scattering decomposition. Each element of u is a MATLAB table.

The precision of the scalogram coefficients depends on the precision specified in the framework sf.

Examples

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Open Live Script

This example shows how to return the wavelet 1-D scattering transform of a real-valued signal.

Load an ECG signal sampled at 180 Hz.

load wecg
Fs = 180;

Create a scattering decomposition framework to apply to the signal. Compute the scattering transform of the signal.

sf = waveletScattering('SignalLength',numel(wecg),...
    'SamplingFrequency',Fs)
sf = 
  waveletScattering with properties:

          SignalLength: 2048
       InvarianceScale: 5.6889
        QualityFactors: [8 1]
              Boundary: "periodic"
     SamplingFrequency: 180
             Precision: "double"
    OversamplingFactor: 0


[S,U] = scatteringTransform(sf,wecg);

Plot the signal and the zeroth-order scattering coefficients. Note that the invariance scale is one half the duration of the signal.

t = [0:length(wecg)-1]/Fs;
subplot(2,1,1)
plot(t,wecg)
grid on
axis tight
xlabel('Seconds')
title('ECG Signal')
subplot(2,1,2)
plot(S{1}.signals{1},'x-')
grid on
axis tight
title('Zeroth-Order Scattering Coefficients')

Visualize the scattergram for the first-order scalogram coefficients.

figure
scattergram(sf,U,'FilterBank',1)

Input Arguments

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Scattering decomposition framework, specified as a waveletScattering object.

Input data, specified as a real-valued vector or matrix. If x is a vector, the number of samples in x must equal the SignalLength value of sf. If x is a matrix, the number of rows in x must equal the SignalLength value of sf.

Data Types: double | single

Output Arguments

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Scattering coefficients, returned as a cell array. s is a cell array with Nfb+1 elements where Nfb is the number of filter banks in the scattering decomposition framework. Nfb is equal to the number of elements in the QualityFactors value of sf. Equivalently, the number of elements of s is equal to the number of orders in sf.

The precision of the scattering coefficients depends on the precision specified in the framework sf.

Each element of s is a MATLAB table with the following variables:

Scattering coefficients, returned as a cell array. If x is a vector, each element of signals is a column vector. If x has N columns, each element of signals is a M-by-N matrix, where M is the number of scattering coefficients.

Data Types: double | single

Scattering path used to obtain the scattering coefficients, returned as a row vector. Each column of path corresponds to one element of the path. The scalar 0 denotes the original signal. Positive integers in the Lth column denote the corresponding wavelet filter in the (L-1)th filter bank. Wavelet bandpass filters are ordered by decreasing center frequency.

Data Types: double

Bandwidth of the scattering coefficients, returned as a scalar. If you specify a sampling frequency in the scattering framework, the bandwidth is in hertz. Otherwise, the bandwidth is in cycles/sample.

Data Types: double

Base-2 log resolution of the scattering coefficients, returned as a scalar.

Data Types: double

Scalogram coefficients, returned as a cell array. u is a cell array with Nfb+1 elements, where Nfb is the number of filter banks in the scattering decomposition framework. Nfb is equal to the number of elements in the QualityFactors value of sf. Equivalently, the number of elements of u is equal to the number of orders in sf.

The precision of the scalogram coefficients depends on the precision specified in the framework sf.

Each element of u is a MATLAB table with the following variables:

Scalogram coefficients, returned as a cell array. If x is a vector, each element of coefficients is a column vector. If x has N columns, each element of coefficients is a M-by-N matrix, where M is the number of scalogram coefficients.

Data Types: double | single

Scattering path used to obtain the scalogram coefficients, returned as a row vector. Each column of path corresponds to one element of the path. The scalar 0 denotes the original signal. Positive integers in the Lth column denote the corresponding wavelet filter in the (L-1)th filter bank. Wavelet bandpass filters are ordered by decreasing center frequency.

Data Types: double

Bandwidth of the scalogram coefficients, returned as a scalar. If you specify a sampling frequency in the scattering decomposition framework, the bandwidth is in hertz. Otherwise, the bandwidth is in cycles/sample.

Data Types: double

Base-2 log resolution of the scalogram coefficients, returned as a scalar.

Data Types: double

See Also

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Introduced in R2018b

Wavelet Toolbox Documentation

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