MATLAB: Taylar window(Kaiser) ,hamming,hanning window

hamminghanningkaiserMATLAB

How difference between these three windows?

If Iam have signal(row vectrors) with length(32) ,How applied this three windows on my signal ?

Best Answer

Assume x is your signal

    x = randn(32,1);
    x = x.*hamming(length(x));

The differences in the windows are largely about the width of the main lobe differences in the level of the sidelobes. You can launch wvtool to compare the sidelobe behavior.

wvtool(hamming(32))

Note that some important measurements about the window are displayed at the bottom.

Related Solutions

MATLAB: Hanning ,hamming window in matlab

Before you take the DFT

hamming() or hann()

t = 0:0.001:1-0.00;
 x = cos(2*pi*100*t)+randn(size(t));
 winvec = hamming(length(x)); % hann(length(x));
 xdft = fft(x'.*winvec);
 plot(abs(xdft))

MATLAB: Hanning window

The Hann and Hanning window are both implemented in MATLAB by the same basic equation

w = 0.5 - 0.5*cos(2*pi*x);

There is a slight difference in the way they are calculated in hann.m and hanning.m based on the "x" vector that is evaluated in that equation.

For hann.m

hann(5) gives you

      x = (0:2)'./4;
      w = 0.5 - 0.5*cos(2*pi*x);
      w = [w ; w(end-1:-1:1)]

whereas hanning(5) gives you

    x = (1:3)'./6;
    w = 0.5-0.5*cos(2*pi*x);
    w = [w ; w(end-1:-1:1)];

Since the time vector in hann.m starts with 0, you get 0 as the first and last sample with hann.m, but not with hanning.m which starts with 1 as the first element of the time vector.

But they are the same equation and I think you can use which every implementation you want.

Best Answer

Related Solutions

MATLAB: Hanning ,hamming window in matlab

MATLAB: Hanning window

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