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Recent content by jessi

  1. J

    Simulating Wireless Communication Systems Practcal Model C++

    Re: Simulating Wireless Communication Systems Practcal Model Can you upload those 2 books
  2. J

    frequency domain equalization

    Conventionally, if equalization is carried out in time domain, matrix inversion is involved. However, if the channel has long impulse response, the computational complexity of calculation matrix inversion is very high, making it impossible for practical applications. We recall that the received...
  3. J

    MMSE for OFDM or MC-CDMA

    Simply put, the MMSE equalizer coefficients are given as w(k,t)=H*(k,t)/(sqr(|H(k,t)|)+1/SNR). As SNR increases, MMSE criterion converges to zero-forcing one. In the above equation, H(k,t) is the DFT of h. So, you have to take the DFT of channel gains. hope that helps
  4. J

    why we want use DFT to calculate linear convolution?

    Good explanation. We should emphasize again that the wise-product of two DFT relates to the circular convolution of the two corresponding time-domain sequences. Zero-oadding is thus required.
  5. J

    Digital Communication

    Just tell us your major first. If you work with physical link, I recommend you Digiatal Communication
  6. J

    URG: How to get the data points from the fft plot of Matlab?

    I get confused with you statement. It comes to me that you perhaps perform the FFT of the input signal via the command "fft" in Matlab. If such a case, you can use the "ifft" to get back the input signal.

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