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1-D interpolation (FFT method)


y = interpft(X,n)
y = interpft(X,n,dim)



y = interpft(X,n) interpolates the Fourier transform of the function values in X to produce n equally spaced points. interpft operates on the first dimension whose size does not equal 1.


y = interpft(X,n,dim) operates along dimension dim. For example, if X is a matrix, then interpft(X,n,2) operates on the rows of X.


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Interpolate 1-D data using the FFT method and visualize the result.

Generate some sample points in the interval [0,3π] for the function f(x)=sin2(x)cos(x). Use a spacing interval dx to ensure the data is evenly spaced. Plot the sample points.

dx = 3*pi/30;
x = 0:dx:3*pi;
f = sin(x).^2 .* cos(x);

Use FFT interpolation to find the function value at 200 query points.

N = 200;
y = interpft(f,N);

Calculate the spacing of the interpolated data from the spacing of the sample points with dy = dx*length(x)/N, where N is the number of interpolation points. Truncate the data in y to match the sampling density of x2.

dy = dx*length(x)/N;
x2 = 0:dy:3*pi;
y = y(1:length(x2));

Plot the results.

hold on
title('FFT Interpolation of Periodic Function')

Generate three separate data sets of normally distributed random numbers. Assume the data is sampled at the positive integers, 1:N. Store the data sets as rows in a matrix.

A = randn(3,20);
x = 1:20;

Interpolate the rows of the matrix at 500 query points each. Specify dim = 2 so that interpft works on the rows of A.

N = 500;
y = interpft(A,N,2);

Calculate the spacing interval of the interpolated data dy. Truncate the data in y to match the sampling density of x2.

dy = length(x)/N;
x2 = 1:dy:20;
y = y(:,1:length(x2));

Plot the results.

hold on
title('Row 1')

hold on
title('Row 2')

hold on
title('Row 3')

Input Arguments

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Input array, specified as a vector, matrix, or multidimensional array. The data in X is assumed to be sampled at an evenly spaced interval of the independent variable. interpft works best with periodic data.

Data Types: single | double
Complex Number Support: Yes

Number of points, specified as a positive integer scalar.

Data Types: single | double

Dimension to operate along, specified as a positive integer scalar. If no value is specified, then the default is the first array dimension whose size does not equal 1.

  • interpft(X,n,1) interpolates the columns of X.

  • interpft(X,n,2) interpolates the rows of X.

Example: interpft(X,n,3)

Output Arguments

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Interpolated points, returned as a vector, matrix, or multidimensional array. If length(X,dim) = m, and X has a sampling interval of dx, then the new sampling interval for y is dy = dx*m/n, where n > m.

If dim is specified, then interpft pads or truncates X to length n in dimension dim, so that size(y,dim) = n.


The interpft function uses the FFT method. The original vector x is transformed to the Fourier domain using fft, and then it is transformed back with more points.

See Also


Introduced before R2006a