dft matlab code without fft


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  • Why we use DFT instead of FFT?

    The algorithms for this special case are called fast Fourier transform (FFT).
    The advantages of the FFT include speed and memory efficiency.
    The DFT can process sequences of any size efficiently but is slower than the FFT and requires more memory, because it saves intermediate results while processing.

  • How do you find the DFT of a sequence in Matlab?

    Algorithm (DFT)

    1Obtain the input sequence and number of points of the DFT sequence.
    2) Send the obtained data to a function which calculates the DFT.
    3) Determine the length of the input sequence using the length( ) function and check if the length is greater than the number of points.

  • Direct link to this answer

    Direct link to this answer

    1function [X] = dtft(x,n,w)2% Computes Discrete-time Fourier Transform.3% [X] = dtft(x,n,w)4% X = DTFT values computed at w frequencies.5% x = finite duration sequence over n.6% n = sample position vector.7% w = frequency location vector.
    8) X = exp(-1i*w'*n) * x. ';

  • How to write code for DFT in Matlab?

    Compute the DFT of the signal and the magnitude and phase of the transformed sequence.
    Decrease round-off error when computing the phase by setting small-magnitude transform values to zero. f = (0:length(y)-1)*100/length(y); % Frequency vector subplot(2,1,1) plot(f,m) title('Magnitude') ax = gca; ax.

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