Help with covariance calculation please

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    Calculation Covariance
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Discussion Overview

The discussion revolves around a covariance calculation related to a function defined by a random point process and a stationary process. Participants are exploring the mathematical formulation of the covariance function and the assumptions involved in the problem, which is drawn from a specific article on cyclostationary signals.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • The function x(t) is defined as a sum involving a random point process, a delta-correlated point process, and a stationary process.
  • The covariance function C_{xx}(t,\tau) is expressed in terms of the mathematical expectation of x(t) and involves complex conjugates and convolutions.
  • Crimolvic seeks assistance in deriving the covariance function under the assumption that the processes involved are mutually uncorrelated.
  • A specific result for C_{xx}(t,\tau) is proposed, but the derivation is incomplete, prompting a request for help.
  • There is a technical issue with LaTeX formatting that crimolvic addresses, seeking clarification on proper usage.
  • HallsofIvy provides a correction regarding LaTeX formatting, indicating how to properly format expressions.
  • Another participant expresses uncertainty about their ability to assist with the probability aspects of the problem.

Areas of Agreement / Disagreement

The discussion remains unresolved, with participants expressing varying levels of expertise and willingness to engage with the mathematical details. There is no consensus on the derivation of the covariance function.

Contextual Notes

The problem involves complex mathematical expressions and assumptions about the independence of processes, which may not be fully explored or agreed upon in the discussion.

crimolvic
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Hello,

I have trying to understand this exercise for quite a time, but still with no results. So I thought maybe you can help me ;P

Here is the problem. I have a function given by:
[tex]x(t)=\sum_i A_i s(t-iT-\tau_i)+n(t)[/tex]
where:
- [tex]\left\{A_i\right\}_{i\in Z}[/tex] is a random point process, which is assumed to be periodically correlated with a period [tex]Q[/tex] longer than [tex]T[/tex]
- [tex]\left\{\tau_i\right\}_{i\in Z}[/tex] is a zero-mean delta-correlated point process with probability density function [tex]\phi_{\tau}(\tau_i)[/tex],
- [tex]\left\{n(t)\right\}_{t\in R}[/tex] is a zero-mean stationary process

The covariance function os a function[tex]x(t)[/tex] defined as follows:
[tex]C_{xx}(t,\tau)=E\left\{[x(t+\tau/2)-m_x(t+\tau/2)][x(t-\tau/2)-m_x(t-\tau/2)]\right\}[/tex]
where [tex]m_x(t)[/tex] is the mathematical expectation (ensemble average) of [tex]x(t)[/tex]. For our function one obtains [tex]m_x(t)=\sum_i\bar{A}_i s(t-iT)\ast\phi_{\tau}(t-iT)[/tex]. So after substitution of [tex]m_x(t)[/tex] on the expression defining [tex]C_{xx}(t,\tau)[/tex] one could obtain the covariance function. By assuming that the processes [tex]\left\{A_i\right\}_{i\in Z}[/tex], [tex]\left\{\tau_i\right\}_{i\in Z}[/tex] and [tex]\left\{n(t)\right\}_{t\in R}[/tex] are mutually uncorrelated, one obtains somehow (and here is where I need your help, please) the result:

[tex]C_{xx}(t,\tau)=\sum_i \bar{A_i^2}[s(t+\tau/2-iT)s^{\ast}(t-\tau/2-iT)]\ast \phi_{\tau}(t)-\sum_i \bar{A}_i^2 \widetilde{s}(t+\tau/2-iT)\widetilde{s}^{\ast}(t-\tau/2-iT) + C_{nn}(\tau)[/tex]

where [tex]\widetilde{s}(t)=s(t)\ast \phi_{\tau}(t)[/tex] (convolution) and the upperscript [tex]\ast[/tex] on for example [tex]s^{\ast}[/tex] stands for the complex conjugate.

I took the problem from the article "the relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals" from Randall, et. al published on Mechanical Systems and Signal Processing (2001) 15(5), 945-962, under the point 2.

thanking in advance,
crimolvic
 
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Ups, it seems I did something wrong on using the Latex cappability of the forum. Does someone know how can I fix this?

crimolvic
 
Don't put spaces inside the brackets: [tex]e^{x^2}[/tex]
not [ tex ]e^{x^2}[ /tex ]. Click on the LaTex above to see the difference.
 
thanks HallsofIvy, now is looking much better.
I hope now someone can help understand this problem
 
It's going to have to be someone better at probability than I am!
 

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