## Deconvolution procedure by Weiss method?

Started by in comp.dsp14 years ago 2 replies

In my understanding, the deconvolution process with FFT is to use divide operator instead of the deconvolution operator, that is ---aries44's...

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) * FT(b) c = IFT(C) and then Inverse Ft(IFT) of 'C' gives us the convolution of 'a' and 'b'. Now i...

## Blind Deconvolution Theory

Started by in comp.dsp15 years ago 2 replies

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...

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? Or do I really need to decide on which algorithm group is relevant and concentrate ...

## Deconvolution Algorithm

Started by in comp.dsp12 years ago 4 replies

Hi, I am looking for an Deconvolution algorithm to restore an image by deconvolution of image data and its known/modeled PSF. Which 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

## 1D Deconvolution

Started by in comp.dsp4 years ago 3 replies

Rosetta code has a 'C' example of 1D deconvolution. https://rosettacode.org/wiki/Deconvolution/1D It basically: - takes the FFT of the...

Rosetta code has a 'C' example of 1D deconvolution. https://rosettacode.org/wiki/Deconvolution/1D It basically: - takes the FFT of the convoluted signal. - takes the FFT of the original. - divides 'em. - Takes the FFT of the result. Is the FFT after the divide one of those cases where this fft is its own inverse - it is being used as an ifft? Thanks in advance. -- Les Carg...

## Deconvolution

Started by in comp.dsp10 years ago 15 replies

Hello, I am looking for a deconvolution algorithm to detect material transitions. Can anyone point me in the right direction?

Hello, I am looking for a deconvolution algorithm to detect material transitions. Can anyone point me in the right direction?

## spectral factorization using cepstral deconvolution

Started by in comp.dsp13 years ago 12 replies

Hi there, I want to find the minimum phase spectral factor of a real autocorrelation sequence using cepstral deconvolution. However I run into...

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 anyone suggest me another efficient method that will take about the same time for a sequence of len...

## 2D deconvolution in fourier domain

Started by in comp.dsp14 years ago 1 reply

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...

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 perform deconvolution of M(f) and W(f) to obtain R(f).. Can anybody please let me know how do you do th...

## Multichannel Blind Separation and Deconvolution

Started by in comp.dsp9 years ago 2 replies

Hi i m implementing IEEE paper on the topic "Multichannel Blind Separation and Deconvolution of Images for Document Analysis".IS there...

Hi i m implementing IEEE paper on the topic "Multichannel Blind Separation and Deconvolution of Images for Document Analysis".IS there any source code available for the implementation.Can anyone please explain the concept of "Blind Separation" and "Deconvolution of Images" and "Independent Component Analysis".Can anyone please explain also the source code to implement the same.......Thank you...

## wiener deconvolution

Started by in comp.dsp10 years ago 1 reply

Hi every one I am working on Wiener deconvolution. my aim is to deconvolve the refelectivity function. I am using threshold method in inverse...

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)*gamma

## AR parameter estimation

Started by in comp.dsp12 years ago 1 reply

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...

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 find any info about deconvolution algorithm if someone could just give some insight here i would be...

## deconvolution in frequency domain

Started by in comp.dsp11 years ago

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...

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?

## Deconvolution

Started by in comp.dsp11 years ago 3 replies

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...

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 parseval window reduced our resolution and broadened our peak. Since we are interested in Q-factor va...

## Deconvolution

Started by in comp.dsp13 years ago 6 replies

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...

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 to the behaviour of the Toeplitz Matrix. Would appreciate a reply Thanks -Goks

## FFT windowing and deconvolution

Started by in comp.dsp16 years ago 7 replies

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...

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 (i.e. FFT with no windowing at all) by applying a complex deconvolution algorithm in the frequency d...

## Deconvolution / Spectral division (Antenna)

Started by in comp.dsp8 years ago 1 reply

Hi @ all, I record a signal with spectrum Sig_Rec(f), via an antenna which has its own frequency response, A(f). To get rid of the antenna's...

Hi @ all, I record a signal with spectrum Sig_Rec(f), via an antenna which has its own frequency response, A(f). To get rid of the antenna's influence I perform a spectral division in frequency domain ("deconvolution"): Sig_True(f) = Sig_Rec(f) / A(f) Unfortunately by doing the division-process teh result becomes much more worse than before. Does someone have some ideas how to go on? What...

## Inquiry about white noise and wiener deconvolutions

Started by in comp.dsp11 years ago 3 replies

I?m interested in trying a wiener deconvolution for some electro-physiology data that I have recorded, and I?m not sure how to estimate the white...

I?m interested in trying a wiener deconvolution for some electro-physiology data that I have recorded, and I?m not sure how to estimate the white noise power for use in that. According to Wikipedia, the proper terms to use are the PSD of both the noise and the true signal in the equation used for the wiener deconvolution. (As an aside question, I was going to use the recorded signal as a proxy

## Richardson-Lucy deconvolution ?

Started by in comp.dsp12 years ago

Hello, I'm trying to understand the Richardson-Lucy deconvolution algorithm, primarily from the description...

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 p_{i, j} is the point-spread-function, i.e. the fraction of the pixel at j observed at i. This i...

## peak deconvolution

Started by in comp.dsp16 years ago 2 replies

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...

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 describes the algorithms? which algorithm should we use for x-ray diffraction profile? Is peak fittin...

## Weird apparition on a deconvolution

Started by in comp.dsp14 years ago

I did a deconvolution between two signals, a sweep and an impulse response (actually an impulse response with a very simplified response, I...

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 close peaks) in the frequency domain. In the magnitude, as everything goes smoothly between nearly 0....

## blind deconvolution - speech - psk

Started by in comp.dsp16 years ago 2 replies

I am trying to improve algorithms to apply the BLIND DECONVOLUTION to the real data as for example to eliminate the effect given by...

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 algorithms. Besides I possess a lot of information that I want to share. Daniele Ticchiarelli (FR...