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hamming

Hamming window

Description

example

w = hamming(L) returns an L-point symmetric Hamming window.

example

w = hamming(L,sflag) returns a Hamming window using the window sampling specified by sflag.

Examples

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Create a 64-point Hamming window. Display the result using wvtool.

L = 64;
wvtool(hamming(L))

Figure Window Visualization Tool contains 2 axes objects and other objects of type uimenu, uitoolbar, uipanel. Axes object 1 with title Time domain, xlabel Samples, ylabel Amplitude contains an object of type line. Axes object 2 with title Frequency domain, xlabel Normalized Frequency (\times\pi rad/sample), ylabel Magnitude (dB) contains an object of type line.

Design two Hamming windows:

  • The first window has N = 64 and is symmetric.

  • The second window has N = 63 and is periodic.

Display the two windows.

Hs = hamming(64,'symmetric');
Hp = hamming(63,'periodic');
wvt = wvtool(Hs,Hp);
legend(wvt.CurrentAxes,'Symmetric','Periodic')

Figure Window Visualization Tool contains 2 axes objects and other objects of type uimenu, uitoolbar, uipanel. Axes object 1 with title Time domain, xlabel Samples, ylabel Amplitude contains 2 objects of type line. Axes object 2 with title Frequency domain, xlabel Normalized Frequency (\times\pi rad/sample), ylabel Magnitude (dB) contains 2 objects of type line. These objects represent Symmetric, Periodic.

Input Arguments

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Window length, specified as a positive integer.

Data Types: single | double

Window sampling method, specified as:

  • 'symmetric' — Use this option when using windows for filter design.

  • 'periodic' — This option is useful for spectral analysis because it enables a windowed signal to have the perfect periodic extension implicit in the discrete Fourier transform. When 'periodic' is specified, the function computes a window of length L + 1 and returns the first L points.

Output Arguments

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Hamming window, returned as a column vector.

Algorithms

The following equation generates the coefficients of a Hamming window:

w(n)=0.540.46cos(2πnN),0nN.

The window length L = N + 1.

References

[1] Oppenheim, Alan V., Ronald W. Schafer, and John R. Buck. Discrete-Time Signal Processing. Upper Saddle River, NJ: Prentice Hall, 1999.

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

Version History

Introduced before R2006a

See Also

Apps

Functions