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Discussion Groups > Wiener Filter

Comp.dsp is a worldwide Usenet news group that is used to discuss various aspects of digital signal processing.

We found 185 threads matching "wiener"

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Why Wiener?

2007-03-29 22:09:00
Linear estimation theory is normally credited to Wiener around 1949 though he did have a classified report in the war years. Also, Kolmogorov published the discrete-time version.... Andrei N. Kolmogorov. Interpolation and extrapolation of stationary random sequences (in Russian). Izvestiya AN SS...Why Wiener?

Source code for Wiener Filter

Saraah - 2003-08-27 20:29:00
I need to do a quick test on standard Wiener Filter for speech enhancement, to see how is the result of noise reduction, some paper say it may contain music tones. I probaly will do some modification it base on it. The structure of Wiener Filter is simply as s(n) -> FFT -> Wiene...Source code for Wiener Filter

IIR Wiener Filter in Matlab

SlvrDreams - 2006-04-07 11:30:00
I am attempting to code an IIR wiener filter for system identification in Matlab, but I am currently having some difficulty with the theory... Can someone please clarify? To find the spectral factorization, my understanding is that I take the roots of the autocorrelation sequence, then select tho...IIR Wiener Filter in Matlab

Re: Nonlinear system

2005-06-28 18:21:00
A Volterra series. Wiener first worked this out in the 1930s called the Wiener Expansion and J.F.Barrett did the work independantly. It is a sort of series of convolution integrals. ...Re: Nonlinear system

Symmetric Wiener Filter

Wiz - 2007-03-21 07:23:00
Hi all, I have an exercise, and i should compute the wiener-hopf equations for a symmetric zero phase wiener filter. I have started from the fact that the symmetry and the zero phase imply h[n]=h[-n] for the coefficients of the filter and I compute the following equation sum{h(l)[Rx(k-l)+Rx(l-k...Symmetric Wiener Filter

Wiener solution for equalization

Richard_K - 2007-03-26 10:05:00
In order to find the Wiener solution for equalization purpose, do I need to provide delay to the desired signal as in the case of LMS algorithm? Will the result of the Wiener solution become better if I provide some delay to the desired signal? Thanks. ...Wiener solution for equalization

Good Wiener filter implementation in C/C++?

Paul Miller - 2005-01-02 16:10:00
I've been looking for a modern, efficient Wiener filter implementation written in C or C++, and I can't find anything very recent (or one that actually works). I'd like one implemented on top of fftw if possible. Anyone got any pointers to one? ...Good Wiener filter implementation in C/C++?

Multichannel (MISO) Wiener filter design

2008-04-09 17:26:00
Problem: Design one wiener filter that best matches a time snapshot of data taken from multiple channels of equal interest, that is, the domain of the signal is 2D, specifically with # of time samples > > # channels. Think of a window in a grey scale 2D image. The Easter bunny tells me on...Multichannel (MISO) Wiener filter design

Comparing matched and Wiener filters

Oliver Charlesworth - 2008-12-24 06:06:00
Hi, This is something that's been bugging me for the last couple of days. With the understanding that both are linear, we define the matched filter as the one that maximises the output SNR, and the Wiener filter as the one that minimises the mean square error (MSE). Superficially, these de...Comparing matched and Wiener filters

Need Good Resource On Wiener Filter

Dav - 2005-12-02 14:27:00
Hi, Does anyone have a suggestion for a book(text book preferably) that contains some good examples on auto-regressive signals? I'm interested in understanding how to derive the non-causal and causal solutions of 1st order Wiener Filters. A point in the right direction would be greatly apprec...Need Good Resource On Wiener Filter

Wiener Filter Implementation Question.

stefanb - 2007-07-26 09:42:00
Hello all, I have implemented a WIENER FILTER in the Spectral Domain for noise reduction purposes in Matlab (for speech signals). Question: Can the Wiener Filter factors in frequency domain have values above 1 or below -1? For power spectrum densities i simply used absolute values of the ...Wiener Filter Implementation Question.

Re: Difference between maximum ratio combing and adaptive beamforming

Oli Charlesworth - 2007-04-20 16:21:00
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: Difference between maximum ratio combing and adaptive beamforming

Reducing channel support size using a Wiener Filter

Palani - 2004-07-29 00:42:00
Greetings everyone, I have a channel with impulse response h, with size h_r x h_c and for computational reasons I will need to reduce the support size, i.e. "compress" the signal and represent an equivalent channel of smaller support. I tried an approach using the Weiner Filter, where I use it...Reducing channel support size using a Wiener Filter

Multi input Weiner Filter

HardySpicer - 2009-01-08 14:21:00
For the standard SISO Wiener filter we minimize the cost J J=E[e^2]=E(d-W'X)^2 where W is a vector of weights and X is a vector of regressers. (d is desired output) Also ' denotes transpose. We do this by diferentiating wrt the weight vector W and arrive at the standard Wiener solution. ...Multi input Weiner Filter

Basic Question about the PSD

lebann - 2006-02-21 13:05:00
Hi I am plotting the PSD using Wiener-Khintchin theorem (1). I recall from my signal processing course the the fourier transform is periodic with peroiod of 2 pi. Should the PSD be periodic since the wiener-khintchin theroem is essentialy a fourier transform? What should the perido be in gene...Basic Question about the PSD

Wiener adaptive filtering and windowing: discontinui

sandro - 2006-03-05 09:00:00
Hi all, I wrote a simple adaptive wiener filter in matlab to remove noise from an audio file. The routine computes correlation matrixes on a rectangular window of 256 samples but I have difficulties when rebuilding the whole file: on every edge of the filtered windows I have a discontinuities...Wiener adaptive filtering and windowing: discontinui

Re: How to design a matched filter?

julius - 2009-03-25 10:28:00
On Mar 25, 6:59=A0am, "vimmi" wrote: > To all the members of this community, > iam doing my project on ultrasonic signal processing. > i need to design a matched filter,to remove the white noise from the > received signal(it is the signal received by ultrasonic receiver sensor). > as ia...Re: How to design a matched filter?

Wiener filters for transient deconvolution

Rune Allnor - 2004-11-01 07:03:00
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 pul...Wiener filters for transient deconvolution

LPC Question

HardySpicer - 2007-09-30 18:11:00
In LPC we estimate a 10th order all pole model of quasi-stationary speech. The predicted speech is then y(k)=-a1y(k-1)-a2y(k-2)....-a10y(k-n) Is the 'gain' estimated at all ie the variance of the driving noise of the AR model? Also is this really a predictor? It is not a Wiener predictor ...LPC Question

Re: alpha ,beta ,gamma,upper diagonal filters

Stan Pawlukiewicz - 2005-12-20 14:06:00
Dr Tam wrote: > "One Usenet Poster" wrote in message > news:11qg7d02bkn6h16@corp.supernews.com... > > > Stan Pawlukiewicz wrote: > > > > > For a 3 state filter? Isn't that a bit of overkill for a fixed gain > > > filter where you don't need to calculate a state covariance? > > > >...Re: alpha ,beta ,gamma,upper diagonal filters

Re: deconvolution in time?

2005-11-07 14:16:00
Julian Stoev wrote: > Hello! > I have a output signal y(k) and a plant P(z). The signal y(k) contains > some noise and I know the PSD of the noise. But lets assume that for now > that the noise is qhite and the system looks like this: > > Y(z)=U(z)P(z)+E(z) > > u(k) ...Re: deconvolution in time?

OFDM Channel Estimation Wiener Filtering

sunshine.gladys - 2007-03-09 08:05:00
Hi all, I am rather new to this and would appreciate if someone would kindly enlighten me on this: My pilots symbols are inserted into a set of subcarriers (comb type). I've seen the MMSE estimate of the FFT of the channel coefficients given as: H_mmse = R_HHls(R_HlsHls + sigma^2(XX^h)^-1)^...OFDM Channel Estimation Wiener Filtering

Wiener Hopf Equalizer delay

porterboy - 2004-07-06 10:30:00
CONTEXT:********************** Transmit x(n) receive y(n). Wiener-Hopf (MMSE) FIR Equalizer is... w = inv(Ryy)rxy where Ryy is the received signal autocorrelation and rxy is the channel input-output crosscorrelation: rxy(k) = E(x(n-D)y(n+k)). The D is a delay parameter chosen to make sure the...Wiener Hopf Equalizer delay

wiener deconvolution

ramjanagam - 2009-11-03 13:15:00
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)*...wiener deconvolution

Inquiry about white noise and wiener deconvolutions

john917 - 2009-02-24 19:27:00
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 u...Inquiry about white noise and wiener deconvolutions

Wiener-Kitchen Theorem

HardySpicer - 2010-01-17 22:12:00
If a sausage is brown then it's cooked if it's black it's f*cked. Hardy ...Wiener-Kitchen Theorem

Re: adaptive MISO in matlab

munchkin - 2008-08-15 17:19:00
> Gotta admit, you guys lost me. > > I gotta ask, what is the MISO filter doing? Is the idea that the > coherent combining is done in this filter? Is it just adapting to > each channel independently? > > Eric Jacobsen > Minister of Algorithms > Abineau Communications > http://www.eric...Re: adaptive MISO in matlab

estimating maximum performance of a filter, adaptive filtering, Wiener filtering

stereo - 2006-06-21 10:30:00
Hi everyone, currently I try to understand adaptive filtering a little deeper, and on this way stumbled over a problem. Surely someone could comment my thoughts, wheather I'm right or wrong...and provide some advice which way to think further? Imagine some filtering problem where you have a...estimating maximum performance of a filter, adaptive filtering, Wiener filtering

Re: adaptive MISO in matlab

Eric Jacobsen - 2008-08-15 20:54:00
On Fri, 15 Aug 2008 18:22:04 -0500, "munchkin" wrote: > > > > > I follow that H1 and H2 are the channel responses to the two input > > channels, and for a comm application X1 and X2 would both be recovered > > diversity inputs of the transmitted y (if that holds for what you're > > doi...Re: adaptive MISO in matlab

Re: how to pass a random process through a non-linear system?

Country_Chiel - 2004-12-29 00:47:00
"kiki" wrote in message news:cqlmms$epv$1@news.Stanford.EDU... > Hi all, > > I understood how to pass a stationary random process through a LTI syste... > the autocorrelation of the output has a beautiful relation with the input's > autocorrelations, and so does the power spectrum ...Re: how to pass a random process through a non-linear system?

Wiener filter with smoothed estimation of Noise

stefanb - 2007-08-02 06:17:00
Hello all, I implemented a blockwise Wiener Filter with Matlab like this: H = a_priori_SNR./(a_priori_SNR+1) a_priori_SNR = S./N; S = magnitude of fft of clean signal s; S= abs(fft(s)), of current block N = magnitude of fft of noise n; N= abs(fft(n)), of current block Y = magnitude o...Wiener filter with smoothed estimation of Noise

Hopf or Hoff?

Randy Yates - 2006-12-16 10:05:00
I just noticed that [widrow] refers to the "Wiener-Hopf" equation, yet in that same chapter's bibliography a reference is cited with M.E.Hoff, Jr. as an author. The Wikipedia page on Widrow also uses "Hoff": http://en.wikipedia.org/wiki/Bernard_Widrow Is this the same guy? These are just...Hopf or Hoff?

Re: OT: Harmonics

Vladimir Vassilevsky - 2006-11-27 13:50:00
Rune Allnor wrote: > > In 20 years a student can just as well skip university and spend > the $$ on a matlab lisence + documentation instead. I think, Norbert Wiener said something like that: "The machine is only the amplifier. It can't be the substitute for the brain" V...Re: OT: Harmonics

Re: Affine Projection Algorithm

HardySpicer - 2008-03-09 14:16:00
On Mar 10, 12:00 am, "Manolis C. Tsakiris" wrote: > > =2E..so APA exploits the information contributed by each new sample > > better, but requires more computations between samples? > > > Rune > > ******************************************** > Hi Rune, > > Exactly. This can be ...Re: Affine Projection Algorithm

Wiener filtering using mean-squared method: variance problem

2008-12-22 18:23:00
I am trying to implement a low pass Wiener filter using the mean- squared method, to provide elimination of noisy areas, background texture smoothing, and contrast enhancement. The algorithm I'm using is (to produce output image Q from input image P), to evaluate a 3x3 neighbourhood for each pix...Wiener filtering using mean-squared method: variance problem

Doubt on wiener filter implementation.

yajna.v@gmail.com - 2006-05-22 09:27:00
Hi, I am currently working on a speech enhancement project. I am implementing a noise cancellation system using Wiener filter. > From what I read in the text books and from the net , I got the transfer function for the filter as h(f) = {psd(noisySignal) - psd(noiseSignal) } ...Doubt on wiener filter implementation.

Re: What are Kalman filters for ?

Shytot - 2005-07-18 23:59:00
"OZ" wrote in message news:42db9fe3.4338312@news.btx.dtag.de... > Hi, > can anybody explain what Kalman filters are for ? > > Where can I use them ? > What is the benefit of a Kalman filter ? > Are there any disadvantages ? > > Thanks in advance > Oliver > Its an extension...Re: What are Kalman filters for ?

Re: reconstruct a signal from its samples in the presence of noise

julius - 2007-04-20 10:47:00
On Apr 19, 9:30 pm, zqchen wrote: > A bandlimited signal may be reconstructed from its samples with an > ideal low-pass filter. But is this ideal low-pass filter still the > optimal filter if there is noise. If not how to find out the optimal > filter? thanks! If you have more specif...Re: reconstruct a signal from its samples in the presence of noise

Re: Matched Filters in Digital Communication Systems

Randy Yates - 2006-07-21 12:53:00
Thank you Ravi, Fred, and Tim. Is the matched filter, then, the Wiener filter when the noise is white? --Randy ...Re: Matched Filters in Digital Communication Systems

Re: Matched Filter Design

Rune Allnor - 2004-05-29 07:51:00
albert.vitko@etest.com (Al) wrote in message news: ... > I have an analog waveform defined in the time domain that I need to > detect and measure. I would like to design a matched filter to > optimize the signal to noise ratio of the detected waveform. > > Although the waveform is a puls...Re: Matched Filter Design
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