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Signal analysis problem

  1. Jan 25, 2007 #1
    Sorry, but I don't know where the topic about signal analysis should go..?
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    I'm doing research about quantifying blood flow in the brain. Basically I need to know how to perform deconvolution (I think.)

    I have two functions that describe the concentration of contrast solution:

    f(t) = a(t-to)^b exp[ -(t-to)/c ]
    g(t) = d(t-t1)^k exp[ -(t-t1)/m ]

    where a,b,c,d,k,m,to, and t1 are known parameters (found by fitting the function to measurements.)

    now say f = h * g (* - convolution)
    How can I find h(t)? What type of result can I expect?

    I have tried using the discrete fourier transformation. But I often find h to be a peak followed by a small valley. I don't understand why this would be the deconvolution.

    Please help. I'm stuck.
    (http://s153.photobucket.com/albums/s235/s1020099/)
     
  2. jcsd
  3. Jan 25, 2007 #2

    rbj

    User Avatar

    try the USENET newsgroup comp.dsp .


    if c is not the same number as m, i don't think you can do it. well, it might depend a little on what if f() and g() have unit step functions applied to them.

    but the basic idea is to compute the Fourier Transform of f(t) and g(t), divide [itex]F(\omega)[/itex] by [itex]G(\omega)[/itex] to get [itex]H(\omega)[/itex] and then inverse Fourier transform that result.

     
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