deconvolution techniques

Started by skaspok in comp.dsp12 years ago 3 replies

In dielectric samples, a pulse of electric field makes charge plans moving, creating an acoustic wave transformed in tension, using a piezo...

In dielectric samples, a pulse of electric field makes charge plans moving, creating an acoustic wave transformed in tension, using a piezo transducer. I have a signal to deconvolute to recover the space charge profile. I know the impulse response. Today, the only thing working is to divide and filter the low frequencies with a gaussian. I tried Wiener, richardson-lucy, doesn't work. I'm looki...


Wiener filters for transient deconvolution

Started by Rune Allnor in comp.dsp15 years ago 2 replies

Hi folks. I'm sitting here with some data recorded by a sonar. The sonar is directed vertically, insonifying a layered sea floor. My job is...

Hi folks. I'm sitting here with some data recorded by a sonar. The sonar is directed vertically, insonifying a layered sea floor. My job is to try to estimate the reflection series for this sea floor. I have both a nominal source wavelet (i.e. the analytical expression for the emitted pulse) and a reference recording, where the sonar was directed towards a reciever that was suspended ...


The Best Name for Signal Recovery Matched Filtering

Started by Bret Cahill in comp.dsp4 years ago 12 replies

I just assumed "matched filtering" included the deconvolution and other steps to recover the original signal's shape. In this case it was...

I just assumed "matched filtering" included the deconvolution and other steps to recover the original signal's shape. In this case it was actually easier to invent a new filter -- I assumed it already existed -- than to be scholarly and do some research. To avoid confusion with the terminology from now on the filter that takes the convolution of a noisy signal like a conventional matche...


A difficult deconvolution...

Started by tramoman in comp.dsp14 years ago 4 replies

Hello, I am trying to model the behaviour of a reactor vessel when some particles inside the container strike the inner wall using...

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. Now I would like to get rid of the TRANSFER FUNCTION of the container from the random particles...


A difficult deconvolution...

Started by tramoman in comp.dsp14 years ago 5 replies

Hello, I am trying to model the behaviour of a reactor vessel when some particles inside the container strike the inner wall using...

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. Now I would like to get rid of the TRANSFER FUNCTION of the container from the random particles...


deconvolution and fitting of gamma variates

Started by PaulPaul in comp.dsp12 years ago

Hi Everyone, I'm looking for help on deconvolving and the fitting of two gamma variates. I'm using MATLAB. My two gamma variates have the...

Hi Everyone, I'm looking for help on deconvolving and the fitting of two gamma variates. I'm using MATLAB. My two gamma variates have the form: modelFun = @(p,x) ( p(1) .* ( (x-t0)./(p(2)-t0)).^ p(3).* exp(p(3).*(1-(x-t01)./(p(2)-t01))) .* heaviside2nd(x-t01)); Where P has to be given initial values to perform the fit. Here the function heaviside2nd is the modified version of the heavisi...


Wiener deconvolution and noise floor

Started by Todd in comp.dsp7 years ago

Hello, I am using an example from one of my favorite statistical signal processing texts...

Hello, I am using an example from one of my favorite statistical signal processing texts (http://www.amazon.com/Statistical-Adaptive-Signal-Processing-Estimation/dp/1580536107/ref=sr_1_1?ie=UTF8&qid=1344697297&sr=8-1&keywords=kogon+adaptive+signal+processing). I don't know the page number or example off the top of my head, but I can find it if necessary. The problem d


Tom Stockham's passing, see rec.audio.pro

Started by Max Hauser in comp.dsp16 years ago 4 replies

I didn't cross-post it, and I won't multiple-post it, but some of you may have heard of Tom Stockham (pioneering applier of...

I didn't cross-post it, and I won't multiple-post it, but some of you may have heard of Tom Stockham (pioneering applier of blind-deconvolution techniques and Other Matters), and might like to see memorial remarks that I and others posted recently on rec.audio.pro, where I first saw this news. (I cited certain other highly-technical innovators also, and a little DSP history, in my own message...


inv filter deconvolution

Started by Dan Shorb in comp.dsp15 years ago 2 replies

Hello all, I am working on a project to equalize the response of a loudspeaker using dsp prefiltering. I want to use a logarithmically-swept...

Hello all, I am working on a project to equalize the response of a loudspeaker using dsp prefiltering. I want to use a logarithmically-swept sine excitation function to measure the linear impulse response and harmonic distortion as described in Farina's paper "Simultaneous measurement of impulse response and distortion with a swept-sine technique" (paper#22 at http://pcfarina.eng.unipr.it...


vibroseis deconvolution without the target sweep

Started by Nicholas Kinar in comp.dsp13 years ago 2 replies

I have a vibroseis dataset from which I need to find the reflection response of the earth medium r[t]. For a simple model, assume that s[t] is...

I have a vibroseis dataset from which I need to find the reflection response of the earth medium r[t]. For a simple model, assume that s[t] is the original target sweep and s'[t] is the recorded sweep expressible by the convolution s'[t] = s[t] * r[t]. Of course, this does not take into account earth attenuation or noise. What I need to find is the reflection response r[t], but I cann...


Deconvolving a sampled signal?

Started by Anonymous in comp.dsp3 years ago 11 replies

I asked for a while back about inverse filtering a high pass filtered signal to restore more of the lower frequencies. But it would be hard to...

I asked for a while back about inverse filtering a high pass filtered signal to restore more of the lower frequencies. But it would be hard to do. But. I stumbled on to the art of deconvolution: :-) In the beginning of my sampled data there is a known pulse that I know is a square pulse in real life (but in my sampled data it is high pass filtered). Could I use that knowledge to deconv...


deconvolution to obtain impulse response

Started by NU in comp.dsp14 years ago 2 replies

Hi All, I am working with injecting contrast/dye and measuring the resulting enhancement (resulting from the injection) in a patient. The...

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 output is related to injection via the transfer function of the patient. so, OUTPUT = TRANSFER FUNCT...