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Wiener Filter

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

We found 142 threads matching "wiener"

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The most relevant threads are listed first

Why Wiener?

22:09 29-03-07
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 - 20:29 27-08-03
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 - 11:30 07-04-06
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

18:21 28-06-05
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 - 07:23 21-03-07
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 - 10:05 26-03-07
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 - 16:10 02-01-05
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

17:26 09-04-08
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

Need Good Resource On Wiener Filter

Dav - 14:27 02-12-05
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 - 09:42 26-07-07
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 - 16:21 20-04-07
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 - 00:42 29-07-04
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

Basic Question about the PSD

lebann - 13:05 21-02-06
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 - 09:00 05-03-06
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

Wiener filters for transient deconvolution

Rune Allnor - 07:03 01-11-04
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 - 18:11 30-09-07
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 - 14:06 20-12-05
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?

14:16 07-11-05
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 - 08:05 09-03-07
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 - 10:30 06-07-04
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

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

stereo - 10:30 21-06-06
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: how to pass a random process through a non-linear system?

Country_Chiel - 00:47 29-12-04
"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 - 06:17 02-08-07
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 - 10:05 16-12-06
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 - 13:50 27-11-06
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 - 14:16 09-03-08
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

Doubt on wiener filter implementation.

yajna.v@gmail.com - 09:27 22-05-06
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 - 23:59 18-07-05
"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 - 10:47 20-04-07
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 - 12:53 21-07-06
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 - 07:51 29-05-04
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

Re: Forward Linear Prediction

Fred Marshall - 11:26 25-10-07
"perecillo" wrote in message news:0Zednf8axY8ZB73anZ2dnUVZ_gmdnZ2d@giganews.com... > Is it possible to use the Wiener filter theory to predict a signal with > no > zero mean? > Thanks No. Not as I understand it at least. See Kalman filter perhaps.... Fred ...Re: Forward Linear Prediction

Re: Basics of Spectral Density and Autocorrelation Function

Shytot - 23:18 28-07-05
"lebann" wrote in message news:P5-dnVVQdq_MpHXfRVn-1A@giganews.com... > > (2) How does the autocorrelation and PSD relate? Via the Wiener-Kinchen Theorem... the Fourier TF of Auotorrelation is PSD. Shytot ...Re: Basics of Spectral Density and Autocorrelation Function

DSP: basic signal detection in Matlab (help!) :)

theColdest - 00:06 02-03-05
Hi, I'm trying to write my first signal detection algorithm in Matlab... but it's been several years since I've done any DSP... so it's slow going. if anyone has a little free-time, can you look at this and see if you can spot what I'm doing wrong? the data files can be acquired here: http:/...DSP: basic signal detection in Matlab  (help!)  :)

Re: Band limited function zero crossings, how many?

Robert E. Beaudoin - 23:41 21-02-04
Matt Timmermans wrote: > "Robert E. Beaudoin" wrote in message > news:42c6a$40369899$44a72252$11987@msgid.meganewsservers.com... > [snip] > > I wonder just which functions on [-1, 1] have extensions in L^2(R) > > whose Fourier transforms are zero outside [-W, W] (for a given W). > > I ...Re: Band limited function zero crossings, how many?

who understands signal detection?

theColdest - 19:02 07-03-05
I'm trying to write my first signal detection algorithm in Matlab... but it's been several years since I've done any DSP... so it's slow going. if anyone has a little free-time, can you look at these M-files and see if you can spot what I'm doing wrong? the data files can be acquired here: h...who understands signal detection?

LMS vs Wiener

gabinet - 09:19 18-06-07
Hello. I have a toy situation in which, known the desired signal d(n), d(n) = sin(100*pi*n+pi/3); and a noisy signal, with white noise v(n) with known variance and mean x(n) = d(n) + v(n); the goal is define an optimal Wiener filter of 101 coefficients. (I call it "toy situation" be...LMS vs Wiener

LMS vs Wiener

gabinet - 09:24 18-06-07
Hello. I have a toy situation in which, known the desired signal d(n), d(n) = sin(100*pi*n+pi/3); and a noisy signal, with white noise v(n) with known variance and mean x(n) = d(n) + v(n); the goal is define an optimal Wiener filter of 101 coefficients. (I call it "toy situation" be...LMS vs Wiener

Re: Amusing Stories

Jerry Avins - 22:03 06-05-06
dawilsster@googlemail.com wrote: > Hello all, > > So, I've not been DSP for a few years now but as luck would have it > ..... the circle is complete, which got me thinking about visionaries > adventures. Can someone tell me who tought their selves Hungarian in a > couple of days before ...Re: Amusing Stories

Re: Noise characterization of wavelet coefficients

Rune Allnor - 02:54 30-06-04
"g" wrote in message news: ... > Hi, > > I hope this question about wavelets is not too far off topic in this > forum... > > I have some image data with noise for which the noise statistics (mean, > variance) are known : > > noisy image = true image + noise in image domain ...Re: Noise characterization of wavelet coefficients
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