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Recent content by jks

  1. J

    Help for iFFT in Matlab

    hello cmd if you want to try windowing then its easy to apply here is the way consider your time series as Xn, n=0,1,.......N-1 get a window coefficient as Wn , n=0,1,.......N-1 then Xn*Wn will be the windowed time series you can get some window like Hanning , hamming kaiser etc (easily...
  2. J

    Time domain filtering with Matlab

    i have data in time domain , i want to filter some data (peaks in the time domain plot) by specifying filters start time and stop time , which way i should proceed in matlab. please help thanks
  3. J

    Help for iFFT in Matlab

    hi all any Idea about filtering the time domain data, I think i can apply a window but i dont know how to specify the start time and stop time for window. please reply
  4. J

    Help for iFFT in Matlab

    hi I want to perform gating in time or distance domain and then to plot the the gated data in frequency domain. any Idea to implement it in matlab thanks
  5. J

    Help for iFFT in Matlab

    hello cmd, thanks a lot for DTF explanation that really helped me and same has been confirmed from Agilent data sheet cp.literature.agilent.com/litweb/pdf/5989-5723EN.pdf and also the from the Anritsu distance to fault application note . In my case Vf = 1. Further to that for your case the...
  6. J

    Help for iFFT in Matlab

    thanks for prompt reply, here is the matlab program and data attached clc angle =degree ; %calling phase angel amp = 10.^(RL/20); % converting reflection loss from dB to linear radian = angle*pi/180; % converting theta to radian RLCF = amp.*exp(1i*radian); % combining the real and imaginary...
  7. J

    Help for iFFT in Matlab

    hi CMD to explain you my project : 1) i have RL data Frequency and phase data separated in 401 points. 2) I need to plot IFFT from above inputs to locate fault. 3) after locating the fault in have to filter that RL value in time and 4) the filtered data in time domain is to be converted in...
  8. J

    Help for iFFT in Matlab

    i think RL = 10*log(abs(gamma_t)); should be RL = 10*log10(abs(gamma_t)); hope this will help you ---------- Post added at 11:04 ---------- Previous post was at 11:03 ---------- i think RL = 10*log(abs(gamma_t)); should be RL = 20*log10(abs(gamma_t)); hope this will help you

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