MATLAB: FFT

ffti and q signals

Hi All,

I have 3 different separate I and Q signals at 48K. Can any one explain how to do a weighted complex FFT on the three different I and Q Signals.

Best Answer

Then you just do

 t = 0:0.001:1-0.001;
 I = cos(2*pi*100*t);
 Q = sin(2*pi*100*t);
 sig1 = I+1j*Q;
 dftsig1 = fft(sig1);

Do the same for I2 and Q2, etc.

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

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.

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))

Best Answer

Related Solutions

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

MATLAB: Hanning ,hamming window in matlab

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