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We found 415 threads matching "autocorrelation"
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Qiaoke_lily - 2007-12-13 08:12:00
Hi:
im interested in finding autocorrelation function for a whole signal
instead of a frame only of a signal. i have been refered to a post in
year06 (Autocorrelation function, Java or C code) regarding the
autocorrelation for a frame of a signal, and i tried to modify the C code
for finding the ...
manolis - 2008-02-25 10:38:00
Hello! My question relates to DSP theory: suppose that i have an
autocorrelation sequence in a closed form formula. This autocorrelation
sequence may correspond to many different signals. My question is how can
i construct a signal whose autocorrelation is the given one?
Anyone expert?
...
ryujin_ssdt - 2007-11-01 06:01:00
What properties an autocorrelation matrix would have if the corresponding
autocorrelation function is periodic in time with certain integer period
T??
I am interested in obtaining something like a cyclic autocorrelation
matrix of a cyclostationary process but have no idea where to start from.
...
matque - 2007-03-13 12:33:00
I'm trying to copmute the autocorrelation matrix of array outputs and
suspect i may be doing something wrong. I'm confident that i'm getting the
right result for vectors but when my signal is a matrix it all goes wrong.
Looking at the examples below can anyone say if they are correct?
e.g. If ...
jpchibole - 2009-03-09 06:44:00
Hey guys I am studying DSP on my own and would like anyone out there who
has good notes on Autocorrelation from the very basic to post them for me
to use.
Second I hope from your notes, I will be able to understand variance and
be able to maybe construct an autocorrelation matrix of order 4 and fin...
jeroen_trip - 2006-09-04 09:43:00
Hi all,
I'm trying to simulate a small sample, say 15 numbers, of white noise. But
due to chance, the autocorrelation is not exactly 0. Of course the standard
deviation is also not exacty 1 but I can fix that. Is there transformation
to get rid of the unwanted autocorrelation??
Many thanks,
...
Thierry - 2009-07-12 20:25:00
Hi Guys,
forgive me but it has been 10 years since i took a course in signal
processing. i am doing some simulations and i need the expression of
the autocorrelation (Rx') of a signal after downsampling using the
autocorrelation (Rx) of the unsampled signal.
I think it should be :Rx'(n)=(1/M)...
Hi,
I am using an autocorrelation function to calculate the period of a
signal. It is a signal which is periodic. My problem is that there are
some parts with big amplitudes and some part with small amplitudes.
The disadvantage of the autocorrelation is that the big amplitudes are
dominant a...
Hi, I am trying to grasp the basics of autocorrelation and PSD. I dont
have a strong background on DSP, so any help will be appreciated. Here
are my questions:
(1) why is the PSD, which is given by :
PSD(f)=4*Integral[cos(2*pi*f*t)*Autocorrelation from -inf, +inf]
is VALID ONLY for freq...
Does anyone have any optimized Java or C code for an autocorrelation
function. It is my first time needing to do autocorrelation and it seems
straight forward enough to be able to write the code myself, but due to the
amount of iterations it would be wise to ask for code that already has it's ...
2004-01-16 15:40:00
I asked this before under another subject line, but perhaps it got lost.
Assume I want the autocorrelation peak or best least squares fit of
sampled data for non-integer sample offsets (e.g. the periods of the
frequencies of interest are not a multiple of the sample interval).
Should I inter...
Anton - 2006-07-28 18:35:00
Hi,
I saw in the sources for the speex library (http://www.speex.org/)
that they add some value to the first autocorrelation result.
The results are used to produce a IIR with a levinson durbin
recursion.
float d;
int i;
while (lag--)
{
for (i = lag, d = 0; i < n...
Hi,
If your data consists of ones and negative ones then you get negative values
in your autocorrelation function, but if your data is ones and zeros you
don't. In an autocorrelation plot you often see large negative values on
either side of your correlation peak. Is this a good thing or ba...
Tao - 2007-03-14 06:29:00
Hello,
I am trying to determine the frequency of a signal. Samples of the signal
are taken from 2 channels at a time. After some filtering, I perform the
autocorrelation of each channel, and the cross-correlation of the 2
channels.
The autocorrelations, as expected, yield almost identical res...
acc - 2007-03-31 07:17:00
Hi all,
Thanks for reading and please feel free to comment.
I am having problems with matlab fft on autocorrelation data.
When performing a fft on my normalised autocorrelation data
i got a imagnary part that is not equal to zero around x=0 and also at the
near end of the x-axis, but, in be...
2006-01-24 22:11:00
Hi, All,
I have been reading quite a number of articles on measuring room
impulse response using frequency sweeps, but none of them quoted the
analytical formula of the autocorrelation of linear or logrithimic
sweep. I remember seeing it in a underwater acoustics book but could
not find it an...
gjunge - 2006-06-05 07:02:00
Hi,
I want to show a Pitch graph/curve of a wave file. I saw that good results
can be made by using AutoCorrelation. I have the autocorrelation function
and I also have the FFT function, but I don't know what I should put into
the autocorrelation function in order to get a pitch line.
I have a...
fisico30 - 2009-02-17 09:55:00
Hello forum,
this is a simple one:
I found two forms of autocorrelation for 1D signals:
biased and unbiased.
Does anyone know the difference?
Also, all the signals or images we work with are finite in length.
If autocorrelation is carried out, we need to shift the image around with
respe...
2005-10-06 05:13:00
Hi. Does anyone have a good reference for pitch tracking by
autocorrelation? I do note that there is a very long thread on this
topic, but it's too long to follow. So far I've written a very
straightforward program to calculate autocorrelation in a signal and
also a crude envelope follower to ap...
sasuke - 2009-04-16 01:39:00
Hi
I am using MATLAB to generate close to 10^8 samples of a Rayleigh fading
channel using Jakes method. Once I generate these samples, I have to then
create a 20 x 20 autocorrelation matrix. I am using MATLAB to do this.
MATLAB works perfectly for 10^6 samples, but once the number of samples
incr...
Oli Charlesworth - 2009-02-28 20:21:00
Hello,
It feels like this will be a standard DSP result that I should be able
to dig up, but I'm not sure where to look, so here goes!
If we have a continuous-time function, h(t) (assuming real and
"sufficiently well-behaved" for now), then define the autocorrelation as:
r(t) = int { h(...
thom - 2006-06-29 05:46:00
Hi
I would like to compute the autocorrelation matrix from a vector with
Matlab. I don't have the statistical signal processing toolbox (I can only
use "cov" and "corrcoef" functions, or build my own function). Could
someone explain how I can do?
Thanks a lot.
Thom
...
angelredrose - 2008-11-17 11:01:00
Hi,
I am trying to understand the autocorrelation function for better timing
resolution. I am bit confused how to find out the auto correlation PEAK
from the output of M-Sequence? and What is the impact of distance between
the two peaks? In other words, the impact of the length of the M-Sequence?
...
rune2earth - 2008-03-24 09:53:00
Hello
I'm working on analyzing neuroscience data using the autocorrelation
function. I discovered that it has a negative bias (for all lags except
zero lag), that exactly matches up so that the sum of all is zero. This is
in disagreement with what most textbooks write, for example this taken fro...
Navraj - 2007-07-24 16:34:00
I have two questions:
1) Is there a difference b/w the terms 'power spectrum' and 'power
spectral density'? They both seem to indicate power vs. frequency.
2) Suppose you are given a random sampled data sequence x[n], and you
have to find its power spectrum.
- Can we find the spectrum by ...
Hay Datura,
this problem is very similar to the CELP coding algorithm stage
named "Tone detection and tone period estimation".
This procedure is rather robust and is proven in every CELP coder.
The idea is to calculate the autocorrelation function for delays
which belong to the human pulse pe...
2006-07-10 17:22:00
I am working over estimation of fundamental frequency and spectral
shift estimation, using autocorrelations and cepstral analysis.
The Cepstral analysis is an homomorphic system, is possible to
calculate as:
X(w) = FFT[ x(n) ]
c(n) = IFFT[ log |X(w)| ]
The autocorrelation function is possi...
Craig - 2003-06-30 17:31:00
Let x[n] = s[n] + p[n]
where s[n] is complex Gaussian white noise (GWN) and p[n] is a
complex signal in the for Ae^{j2pi w + phi} where w is radian
frequency and phi is a phase factor.
I want to show that if I do the autocorrelation of x[n] (ie
x[n]x[n-1]* , where * denotes the complex conj...
2005-12-22 15:06:00
> I want to know why white noise floor is added to the autocorrelation
> function in the lpc analysis.
I'm not an expert with LPC, but I know with adaptive dsp, you need to
keep the inverse of the autocorrelation matrix stable. This is
especially true with highly self-correlated signals. ...
2006-10-17 17:07:00
And another quickie...
how is autocorrelation related to rate of change?
A Rayleigh variable has an autocorrelation which is
a Bessel function. Could I say that the channel is
slowly fading if the symbol duration is "way less"
than the main lobe of this Bessel function?
...
lucy - 2004-11-28 21:31:00
Hi all,
I heard tht white noise can be used to do system identification: finding the
impulse response of an LTI system: generate a white noise x(t), and then
input it to a system h(t), measure the output y(t), then find the R_yx(t),
this is in fact the system impulse response h(t)...
I u...
newsnetstudent wrote:
> Hi,
>
> The autocorrelation of a signal X is generally bell-shaped with maximum
> value at the middle. I am just wondering, from what a threshold value we
> can assume practically that the signal autocorrelation is null?
>
> Assume that the maximum value of th...
Kenny_EE_UTD - 2006-10-13 07:23:00
As part of a senior design project designing a QAM modem.
One major issue that I am trying to tackle is the ideal of tracking the
phase of the incomming signal to the reciever so that the data can be
sampled at the appropriate times.
I am currently playing with the ideal of using the autocorr...
Hello,
I'm looking for a spreading code that I can output from a microcontroller
(PIC). The sequence must have low autocorrelation with a good merit factor.
It should be a long sequence of between 4000 and 20000 and does not have to
be done with a LFSR (shift register) since I have lots of ...
Vimal wrote:
> Hello all,
>
> When the two sequances are symmetrical then the correlation and the
> convolution are same from the classical definitions.
Actually this is true if only one sequence is (even) symmetric.
> My query is that, the correlation (if not ergodic) has joint pdf ...
Joe - 2005-05-30 21:24:00
Hey everybody
I am a newbie when it comes to C-programming and DSPs. I have been playing
around with the autocorrelation-function that comes with TI's DSPLIB. I have
made a small program to see how the autocorrelation-function works. The
program compiles without errors but I do not get the ...
HardySpicer - 2009-08-01 02:32:00
How do I find the autocorrelation of a multivariable channel with 2
outputs? The result will be a matrix of correlation functions which
are a function of lag. Suppose the signals are a vector S={s1 s2}
I can do
R(k+1,lag)=beta*R(k.Lag)+(1-beta)*S(k+1)S^T(k+1+lag) where T is
transpose of th...
kiki - 2004-12-26 01:45:00
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 density...
But what if my stationary zero mean Gaussian random process x(t) go th...
2003-08-09 13:50:00
When using an fft for frequency estimation of a complex audio waveform
(singing voice, piano, etc.), the bin representing half the fundamental
frequency will be mostly empty. Won't the bin of the autocorrelation
result for double the wavelength of the fundamental frequency have some
energy in i...
Sattu - 2006-04-19 00:04:00
One of the good features to recognize the voice gender is the
periodicity of residual autocorrelation function. To implement the
algorithm, We calculate the distance between the first and second peak
of autocorrelation for each frame , average it all over the nonzero
frames and take it as a fea...
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