Hi,
So i am in a fix now. I have a discrete time signal which is produced by a device with Nyquist frequency as 50MHz and 1088 samples (there is nothing i can do with the device to change the frequency or number of samples). I have an analytical signal which is produced in the frequency domain...
I am trying to make a deconvolution of fluorescence spectra in Matlab. The original spectra is the yellow graph in the figure below. The other two
graphs are Cauchy distributions, x and y, that I have manually added to the plot. I would like to write a program that could do this automatically...
Homework Statement
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This problem is from Mark Newman's Computational Physics, problem 7.9, found at
http://www-personal.umich.edu/~mejn/cp/exercises.html. The problem gives us a blurry convolved image, according to a Gaussian point spread function and our objective is to deconvolve it to...
Homework Statement
According to the equation of n-m+ 1 ( in 1st and 2nd pic) , n = 11 ( number of direct runoff) , m = excess rainfall , it 's 11 -4 +1 = 8,
Homework EquationsThe Attempt at a Solution
So , i think that we need 8 equations only , the others are redundant , i think the...
Hi people, i am doing the deconvolution of the optical absorption spectra of some quartz samples . The optical absorption spectra were obtained following a step annealing procedure.For the deconvolution i am using the Origin 9, so my question is.. Why in some articles i find the deconvolution...
I am new to peak deconvolution, I try to find information about this on the internet but just get a brief understanding of it. Can anyone provide me some suggestions or information about having a deeper understanding of this thing?
I have these two images:
And I have this impulse response function, or the point-spread function (PSF):
The first image is the actual size of the PSF, and the second image has zero pads included.
I tried deconvolving the images this way (with MatLab):
deconvolved_image =...
Homework Statement
Given an input signal and the output signal, I used the deconv function in MATLAB and got a vector of what would be the impulse response and a remainder vector.
Homework Equations
I know this is bad because (in this situation) the input convolved with the impulse...
I need some help understanding how much information I can pull out of this data. I have a sample made up of two materials. Materials A and material B. Then I took a picture of the sample.
The two materials mix quite well, but not perfectly, so on my image I can see that some areas are mostly...
I have a set of discrete data that I have performed multiple Gaussian smoothing filters on to act as a low-pass filter. What I have come up with is something like this:
http://i51.tinypic.com/152kieg.jpg
I'm using findpeaks() in matlab, and a peak that I want is being taken over by the...
I have a system that acts as a low pass. I know the transient response quite well, and I am trying to do a Wiener deconvolution on the measurement data. I expect a clean signal with a few jumps and bursts. Basically piecewise continuous, with the occasional peak. For the Wiener deconvolution I...
Hi There,
I have been working on fluorescence decays of the fluorophores whose lifetimes are comparable to the instrument response function(IRF) of my device. The technique I use is based on Time-correlated single photon Counting(TCSPC). I have been fitting the decay curves using...
Hi,
I am working on long slit spectroscopy for an astronomical instrument, and I think I need deconvolution, but I am not sure, so maybe you will be able to answer me :) Currently those are only simulations. I work in near-infrared (0.950 -> 2.2 micron) with a low resolution (R=30).
My...
Homework Statement
Hi. I don't understand my results when I deconvolve two non-negative peaks. I also get a peak but it is fallowed by a negative "valley". Can devonvolution of two positive graphs give graphs with negative parts?
Homework Equations
In this case I deconvole two gamma...
Hi. I have a data gaussian g(t) and data that I suspect is a convolution (g*f). I want to find f(t), so I need to deconvolute (using Origin preferably).
If I convolute g*g, I get something very beautiful.
If I convolute (g*f)*(g*f), I get something very beautiful.
If I deconvolute...