Package: sigwin
Construct Hann (Hanning) window object
Note
The use of sigwin.hann
is not recommended. Use hann
instead.
sigwin.hann
creates a handle to a Hann window
object for use in spectral analysis and FIR filtering by the window
method. Object methods enable workspace import and ASCII file export
of the window values.
The symmetric Hann window of length N
is
defined as:
$$w(n)=\frac{1}{2}\left(1\mathrm{cos}\frac{2\pi n}{N1}\right),\text{\hspace{1em}}0\le n\le M1$$
where M is N/2 for N even and (N + 1)/2 for N odd.
The second half of the symmetric Hann window $$M\le n\le N1$$ is obtained by flipping the first half around the midpoint. The symmetric option is the preferred method when using a Hann window in FIR filter design.
The periodic Hann window is constructed by extending the desired window length by one sample, constructing a symmetric window, and removing the last sample. The periodic version is the preferred method when using a Hann window in spectral analysis because the discrete Fourier transform assumes periodic extension of the input vector.
H = sigwin.hann
returns a symmetric Hann
window object H
of length 64.
H = sigwin.hann(
returns
a symmetric Hann window object with length Length)
Length
. Length
requires
a positive integer. Entering a positive noninteger value for Length
rounds
the length to the nearest integer. Entering a 1 for Length
results
in a window with a single value of 1.
H = sigwin.hann(
returns
a Hann window object with sampling Length
,SamplingFlag
)Sampling_Flag
.
The SamplingFlag
can be either 'symmetric'
or 'periodic'
.

Hann window length. Must be a positive integer. Entering a positive
noninteger value for 


generate  Generates Hann window 
info  Display information about Hann window object 
winwrite  Save Hann window object values in ASCII file 
Handle. To learn how copy semantics affect your use of the class, see Copying Objects in the MATLAB^{®} Programming Fundamentals documentation.
Oppenheim, Alan V., and Ronald W. Schafer. DiscreteTime Signal Processing. Upper Saddle River, NJ: Prentice Hall, 1989.