# Documentation

### This is machine translation

Translated by
Mouseover text to see original. Click the button below to return to the English verison of the page.

# czt

Chirp Z-transform

y = czt(x,m,w,a)
y = czt(x)

## Description

y = czt(x,m,w,a) returns the chirp Z-transform of signal x. The chirp Z-transform is the Z-transform of x along a spiral contour defined by w and a. m is a scalar that specifies the length of the transform, w is the ratio between points along the z-plane spiral contour of interest, and scalar a is the complex starting point on that contour. The contour, a spiral or “chirp” in the z-plane, is given by

z = a*(w.^-(0:m-1))

y = czt(x) uses the following default values:

• m = length(x)

• w = exp(-j*2*pi/m)

• a = 1

With these defaults, czt returns the Z-transform of x at m equally spaced points around the unit circle. This is equivalent to the discrete Fourier transform of x, or fft(x). The empty matrix [] specifies the default value for a parameter.

If x is a matrix, czt(x,m,w,a) transforms the columns of x.

## Examples

collapse all

Create a random vector, x, of length 1013. Compute its DFT using czt.

rng default
x = randn(1013,1);
y = czt(x);

Use czt to zoom in on a narrow-band section of a filter's frequency response.

Design a 30th-order lowpass FIR filter using the window method. Specify a sample rate of 1 kHz and a cutoff frequency of 125 Hz. Use a rectangular window. Find the transfer function of the filter.

fs = 1000;
d = designfilt('lowpassfir','FilterOrder',30,'CutoffFrequency',125, ...
'DesignMethod','window','Window',@rectwin,'SampleRate',fs);
h = tf(d);

Compute the DFT and the CZT of the filter. Restrict the frequency range of the CZT to the band between 100 and 150 Hz. Generate 1024 samples in each case.

m = 1024;
y = fft(h,m);

f1 = 100;
f2 = 150;
w = exp(-j*2*pi*(f2-f1)/(m*fs));
a = exp(j*2*pi*f1/fs);
z = czt(h,m,w,a);

Plot the transforms. Zoom in on the area of interest.

fn = (0:m-1)'/m;
fy = fs*fn;
fz = (f2-f1)*fn + f1;

subplot(2,1,1)
plot(fy,abs(y))
axis([f1 f2 0 1.2])
title('FFT')

subplot(2,1,2)
plot(fz,abs(z))
axis([f1 f2 0 1.2])
title('CZT')
xlabel('Frequency (Hz)')

## Diagnostics

If m, w, or a is not a scalar, czt gives the following error message:

Inputs M, W, and A must be scalars.

## Algorithms

czt uses the next power-of-2 length FFT to perform a fast convolution when computing the z-transform on a specified chirp contour [1].

## References

[1] Rabiner, Lawrence R., and Bernard Gold. Theory and Application of Digital Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1975, pp. 393–399.