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Recent content by purnapragna

  1. purnapragna

    what's the difference between an AR filter and MA filter

    ma filter An AR filter is an IIR filter where as MA is an FIR filter
  2. purnapragna

    How to find Fourier transform of u(t)????

    ha ha thanks anyway!!
  3. purnapragna

    How to find Fourier transform of u(t)????

    That is a good explanation!! But one more thing how about \[sgn(t)\]? I mean if I apply the differentiation property to \[sgn(t)\] then now, if I integrate I wont get the FT of it. How to resolve???
  4. purnapragna

    How to find Fourier transform of u(t)????

    fourier transform of u(t) Hey, I wish to find the Fourier transform of the signal \[u(t)\] which is unit step using the property of differentiation. i.e., \[\frac{d}{dt}u(t)=\delta(t)\]. Thus applying the differentiation property we get \[j\omega F\left[u(t)\right]=1\] and thus...
  5. purnapragna

    How time domain signal is represented in frequency domain?

    Forrier Transform Check out the explanation given by me in the following link!!! #840176
  6. purnapragna

    How to measure spectral flatness in Matlab?

    spectral flatness matlab Spectral Flatness Measure is the ratio of the Geometric mean and the Arithmetic mean of the given signal's power spectrum. Let the given signal be given by \[x[n]\] and let its power spectrum be given by \[S_x(e^{j\omega)}\], then SFM is given by the formula, \[SFM...
  7. purnapragna

    What we do when we multiply a signal for fourier transform?

    Re: fourier transform Let me explain the thing in a different way!!! The FT of a signal \[x(t)\] is given by the formula \[X(j\omega)=\int\limits_{-\infty}^{\infty}x(t)e^{-j\omega t}dt\] By closely looking at the equation we can see that we are actually finding the cross-correlation,, at...
  8. purnapragna

    physical meaning of convolution

    the physics meaning of convolution Let me explain it clearly !! Let \[x(t)\;\&\;h(t)\] be the two signals which are to be convolved. We know that every signal is a scaled, continuous linear combination of shifted Dirac delta functions or in equation form...
  9. purnapragna

    credibility of Fourier Transform!

    We know the diferentiation property of the Fourier Transform that \[f(t)\rightarrowF(\omega)\] then \[$\dfrac{df(t)}{dt}\rightarrow j\omegaF(\omega)$\] Now let us try to find FT of the signal \[$x(t)=u(t)$\] using differentioation property. we know that \[$\dfrac{du(t)}{dt}=\delta(t)$\]. So FT...
  10. purnapragna

    Looking for Haykin solution manual for Communication System

    Re: Haykin solution manual dsp-book.narod.ru has the solutions thnx purna!
  11. purnapragna

    Need information on transforms

    the link for Poularikas is not working in CMU.cz please give another link thnx purna!
  12. purnapragna

    What is the DTFT matrix ?

    what is a DTFT matrix? hello i have come across the term called DTFT matrix in DSP literature. How is it different from DFT matrix and what are its special properties? please help me! thnx purna!
  13. purnapragna

    covariance method and autocorrelation method

    what is the exact difference and significant impact of these methods when used in Linear Prediction of speech?
  14. purnapragna

    POSITIVE DEFINITE MATRIX

    Every positive definite matrix is invertible and its inverse is also positive definite. If M is positive definite and r > 0 is a real number, then rM is positive definite. If M and N are positive definite, then the sum M + N and the products MNM and NMN are also positive definite; and if MN =...
  15. purnapragna

    Explain to me the Nyquist Rate!

    Re: What is Nyquist Rate It is the minimum frequency at which the signal which is band limited has to be sampled so as to get back the original CT signal by reconstruction formula. thnx purna

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