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Deconvolution Algorithm

Hi, I am looking for an Deconvolution algorithm to restore an image by deconvolution of image data and its known/modeled PSF. Which algorithm is best suited for this? Is it available on the net. Regards, Satish ...

Blind Deconvolution Theory

Hi all, I'm looking for some background on blind deconvolution -- mainly as I'm going to have to explain it to a group of medics and non-engineers. I've got the Simon Haykin, Unsupervised Adaptive Filtering: Vol 2 book. Are there any other books or papers that deal in general terms with blind ...

Deconvolution procedure by Weiss method?

In my understanding, the deconvolution process with FFT is to use divide operator instead of the deconvolution operator, that is ---aries44's post----------- In order to convolve two functions 'a' and 'b', we can take their Fourier Transform(FT) and multiply them in Fourier domain i.e. C= FT(a) ...

peak deconvolution

hello, i am working on project of x-ray diffractometer. Basically the type of distribution for x-ray pattern is poisson type. i want to know the names of the algorithms which can be used for peak deconvolution on x-ray diffraction patterns and the link of the site or documents which describ...

2D deconvolution in fourier domain

hi ppl, I am doing my final year btech project and am stuck at the below... i have two matrices and i want to find the third one.All are of the same dimesntions. M(f) = R(f) * W(f) The product is the convolution. i know M(f) and W(f) I want to find R(f) I basically want to perfor...

FFT windowing and deconvolution

I would like to get some feedback on this idea. Multiplying a signal in the time domain by a window before computing its FFT is equivalent to the convolution of the transform of the signal with the transform of the window. It seems therefore that one could "undo" the effect of a square window (...

wiener deconvolution

Hi every one I am working on Wiener deconvolution. my aim is to deconvolve the refelectivity function. I am using threshold method in inverse filtering for the deconvolution. Hf = H.*(abs(H)> 0)+1/gamma*(abs(H)==0); iHf = 1./Hf; iHf = iHf.*(abs(H)*gamma> 1)+gamma*abs(Hf).*iHf.*(abs(Hf)*...

AR parameter estimation

Hi, I have available input and output data and type of noise(mean , dev) i want to use the deconvolution algorithm in order to estimate AR coefs but i can't find anything relative to this algorithm.I have used so far projection,orthogonalized projection and rls algorithms for doing so but i can't...

deconvolution in frequency domain

hi please help me on this x(t)=sin(2*pi*10*t); w(t)--> awgn noise y(t)=x(t)*e(j*w(t)); here x is multiplied with e(j*w) in time domain. that is equivalent to convolution if frequency domain how to estimate e(j*w(t)) using deconvolution in frequency domain? ...

Weird apparition on a deconvolution

I did a deconvolution between two signals, a sweep and an impulse response (actually an impulse response with a very simplified response, I lowpass filtered its magnitude bins in the frequency domain to make it smooth) and as a result, i get what I expect, plus a weird peak (actually two very cl...

Deconvolution

Why is the inversion of a Toeplitz system Ax=b, where A is a Toeplitz matrix, ill-posed even when A is not rank deficient?. If A is full rank, shouldnt the system have a unique solution and not be affected by small noise perturbations?. How can one relate the ill-posedness of deconvolution problems ...

Deconvolution by Fourier method

In order to convolve two functions 'a' and 'b', we can take their Fourier Transform(FT) and multiply them in Fourier domain i.e. C= FT(a) * FT(b) c = IFT(C) and then Inverse Ft(IFT) of 'C' gives us the convolution of 'a' and 'b'. Now if we want to deconvolve 'a' from 'c' to get 'b' we can do ...

Re: Problem measuring frequency response of filters

Jerry Avins wrote: (snip) > How do you make a digital filter non-linear without saturating? A truly > non-linear filter doesn't have a single impulse response. I suppose that > a liberal interpretation of "filter" would include squaring and > transcendental functions, but that doesn't s...

spectral factorization using cepstral deconvolution

Hi there, I want to find the minimum phase spectral factor of a real autocorrelation sequence using cepstral deconvolution. However I run into problems when the spectrum has a null. Is there a way to get around this problem, or is the cepstral deconvolution doomed to fail in case of a null? Could...

blind deconvolution - speech - psk

I am trying to improve algorithms to apply the BLIND DECONVOLUTION to the real data as for example to eliminate the effect given by an environment on a vocal(speech) signal. Currently I possess some algorithms that I would like to improve. For this I desire to exchange knowledges, data and alg...

Discrete Deconvolution

Hello, all. I have a dilemma. I'm analyzing some time signals for periodicities, and I was wondering about a seemingly basic method of doing it. I hope you'll forgive my ignorance, as my specialty is physics and not signal processing :P So, we have a time-series that is the product of a s...

Richardson-Lucy deconvolution ?

Hello, I'm trying to understand the Richardson-Lucy deconvolution algorithm, primarily from the description here: http://en.wikipedia.org/wiki/Richardson-Lucy_deconvolution In this notation, u_i is a pixel in the latent image(unknown), c_i the corresponding pixel in the observed image, and ...

Re: deconvolution in time?

Julian Stoev wrote: > Hello Christian, > > Your approach is based on the assumption, that P(k) is FIR filter? I did > not mention it, but I used P(z). ;-) > > My case is related to IIR description of the system. For example > > 5.641e-006 z^3 + 0.1712 z^2 + 0.8146 z - 0.0...

Deconvolution

Hi, I have a question regarding the deconvolution of a signal from the window. we had non-equispaced vlbi data, to do the analysis we first windowed the data in the time domain using parseval window then applied SVD and DFT in order to get the power spectrum in the frequency domain. But using the p...

Re: Crosstalk question

Ulrich, if the crosstalk is linear and time-invariant, you can try to subtract the crosstalk via deconvolution. You need to find the crosstalk filters c_12 and c_21 (look up deconvolution to find out how). Then first approximation of the cleaned up signals is s1' = s1 - c_21 * s2 and ...

Re: zero padding avoids aliasing

jddaviswy wrote: (snip) > I don't think that anybody else has mentioned this so I will put my two > cents in here. The kind of resolution that people are talking about > when they say that you can't get any more by zero padding is the > ability to resolve two very close tones. If you ...

Re: Recovering data below a high pass cutoff frequency

Joerg wrote: > > All you need is gain and freedom from noise. Freedom from noise is the > > hard part, but as Stephan Bernsee once wrote, papier ist duldig (paper > > is patient-- read "compliant"). > When Germans say "Papier ist geduldig" they often mean "It looks easy on > paper...

Re: Linear Convolution of input seuence split into frames

mistvan wrote: mistvan wrote: > I am trying to implement a linear convolution of FIR IR and a > large input sequence. The IR is symmetrical (L=11). > I receive the data in frames of say 128 samples (could be less > or more than this). The output exhibits problems at the f...

Re: "Good" FIRs with no negative parts

Michel Rouzic wrote: > Here's the problem, due to the overwhelming presence of black areas in > my pictures, it leaves FIRs with negative values (such as Lanczos/ > windowed sinc FIRs) out of the equation (well it at least makes them > far-from-ideal choices), as most of the time the resul...

deconvolution problem

Hi, I have a problem with vector deconvolution. This is what I do in Matlab: > > vect1=[1 2 3 4 5 6 7 8 9]; > > vect2=[1 2 3 4 0 0 0 0 0 0 0 0 0 0]; %I want to find w with conv(w,vect1)=vect2 > > Lx=length(vect2)-length(vect1)+1; > > Lx2=pow2(nextpow2(Lx)); > > VECT1=fft(vect1,Lx2); ...

deconvolution problem

Hi, I have a problem with vector deconvolution. This is what I do in Matlab: > > vect1=[1 2 3 4 5 6 7 8 9]; > > vect2=[1 2 3 4 0 0 0 0 0 0 0 0 0 0]; %I want to find w with conv(w,vect1)=vect2 > > Lx=length(vect2)-length(vect1)+1; > > Lx2=pow2(nextpow2(Lx)); > > VECT1=fft(vect1,Lx2); ...

Re: Selection between convolution and inverse filtering operation

On Sep 19, 10:50 pm, "riz" wrote: > > On Sep 19, 4:16 pm, "riz" wrote: > > > > On Sep 19, 9:49 am, "riz" wrote: > > > > > Out of convolution operation and inverse filtering operation,which > > > > > operation is better regarding the stability point of view(minimum > > > phas...

Re: Syncing multiple related audio tracks

Frédéric Jolliton wrote: > Hi, > > I'm looking for a method to automatically synchronize various audio > tracks, recorded at the same place, with different devices. This is > intended to work at post-processing time (not in realtime.) > > Basically, I'm taking two audios track: one...

Re: anybody knows how to do de-convolution?

lucy wrote: > I have a filter and want to inverse the filtering step, what can I do? See: Deconvolution of Images and Spectra by Peter A. Jansson -- glen ...

A difficult deconvolution...

Hello, I am trying to model the behaviour of a reactor vessel when some particles inside the container strike the inner wall using FINITE ELEMENT MODELLING software. I reproduced several random particles hitting the wall at different times and position across the surface of the inside wall....

A difficult deconvolution...

Hello, I am trying to model the behaviour of a reactor vessel when some particles inside the container strike the inner wall using FINITE ELEMENT MODELLING software. I reproduced several random particles hitting the wall at different times and position across the surface of the inside wall....

Re: Help needed with legacy C++ filter code

BCC wrote: > Hi, > > Can anyone tell me what this code means, or what kind of filter it may > be representing? > > const double std_spike_sym_delta[] = {-4, +4, +1, 0, -1, -4, +4}; > const int std_spike_sym_width[] = {1, 1, 2, 2, 2, 1, 1}; > const int std_spike_body_widt...

Design of a deconvolution filter

Hi, I am really new to this so bear with me. I got a homework assignment for a course called analytical topics and I was wondering if anybody could help me figure it out. I don't need a complete answer but just some pointers of where to begin with this problem and how to proceed. Thank you very mu...

deconvolution to obtain impulse response

Hi All, I am working with injecting contrast/dye and measuring the resulting enhancement (resulting from the injection) in a patient. The injection is a square input (e.g., 20 ml @ 4 ml/sec for 5 sec). Now, I measure the resulting enhancement (OUTPUT) at a certain location. Now, this outpu...

Re: Difference between maximum ratio combing and adaptive beamforming

philgo said the following on 20/04/2007 19:23: > Let me try to rephrase the question. > > In traditional beam-forming, we are always talking about angles, angle of > arrival, angle of departure, beam pattern pointing to a certain angle, > etc. > However, when we talk about the MRC, the ...

Re: Beating Nyquist?

Andor wrote: (snip on non-uniform sampling and aliasing) > However, it is obvious that one can still find sine waves at other > (higher) frequencies that _will_ pass through those points in Fig. 5.2 > (I calculated this myself, using randomly selected samples of a sine > wave). It seems l...

Re: Negative Group Delay ... again!

Ron N. wrote: (snip) > That's the heart of a semantic problem when discussing band > limited signals. People sometimes (often?) confuse > bandlimited signals with low-pass-filtered signals. But a > truely and perfectly bandlimited signal actually implies > constraints on the distant f...

How does one "determine" the point spread function?

Hello- Disclaimer: I have no background in optics or image signal processing, so I apologize in advance for abusing any terminology. I just discovered this list via Google, and I hope that some of you might be able to help point me in the right direction. Here goes... I'm working on a so...

Deconvolution

If I have a random signal u(k) and a (known) transfer function H then y(k)=Hu(k) and if I know H and H is minimum phase then I ca neasily find u(k). Suppose H is nonminimum phase eg y(k)=u(k)-2u(k-1) how to get at u(k)? Can I run time backwards in some way so the H is stable in rever...

Re: opposite of a filter

On May 7, 11:53=A0am, "sauwen" wrote: > Once you filter a signal, what is the best way to get the original signal > back? > > Thanks.. Deconvolution is the way - at least optimal in the sense of least squares. Hardy ...