Matlab for the Hann Window

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In matlab, a length Hann window is designed by the statement

w = hanning(M);

which, in Matlab only is equivalent to

w = .5*(1 - cos(2*pi*(1:M)'/(M+1)));

For

, hanning(3) returns the following:

>> hanning(3)
ans =
     0.5
     1
     0.5

Note the curious use of M+1 in the denominator instead of M as we would expect from the family definition in (3.17). This perturbation serves to avoid using zero samples in the window itself. (Why bother to multiply explicitly by zero?) Thus, the Hann window as returned by Matlab hanning function reaches zero one sample beyond the endpoints to the left and right. The minus sign, which differs from (3.18), serves to make the window causal instead of zero phase.

The Matlab Signal Processing Toolbox also includes a hann function which is defined to include the zeros at the window endpoints. For example,

>> hann(3)
ans =
     0
     1
     0

This case is equivalent to the following matlab expression:

w = .5*(1 - cos(2*pi*(0:M-1)'/(M-1)));

The use of

is necessary to include zeros at both endpoints. The Matlab hann function is a special case of what Matlab calls ``generalized cosine windows'' (type gencoswin).

In Matlab, both hann(3,'periodic') and hanning(3,'periodic') produce the following window:

>> hann(3,'periodic')
ans =
     0
     0.75
     0.75

This case is equivalent to

w = .5*(1 - cos(2*pi*(0:M-1)'/M));

which agrees (finally) with definition (3.18). We see that in this case, the left zero endpoint is included in the window, while the one on the right lies one sample outside to the right. In general, the 'periodic' window option asks for a window that can be overlapped and added to itself at certain time displacements (

samples in this case) to produce a constant function. Use of ``periodic'' windows in this way is introduced in §7.3 and discussed more fully in Chapters 8 and 9.

In Octave, both the hann and hanning functions include the endpoint zeros.

In practical applications, it is safest to write your own window functions in the matlab language in order to ensure portability and consistency. After all, they are typically only one line of code!

In comparing window properties below, we will speak of the Hann window as having a main-lobe width equal to $4\Omega_M$ , and a side-lobe width $\Omega_M$ , even though in practice they may really be $4\Omega_{M\pm1}$ and $\Omega_{M\pm1}$ , respectively, as illustrated above. These remarks apply to all windows in the generalized Hamming family, as well as the Blackman-Harris family introduced in §3.3 below.