Understanding White Gaussian Noise: Probability of Inclusion in [0.25A, 1.15A]

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The discussion revolves around understanding white Gaussian noise and its application in a specific problem involving the random process X(t) = A + N(t), where N(t) represents white Gaussian noise. Participants clarify that Gaussian white noise has equal amplitude across all frequencies and that filtering this noise will yield an output resembling the frequency-wise transfer function. One contributor suggests a book by F.R. Connor as a resource for further learning, while another admits their limitations in solving the problem due to a lack of expertise in signals. The thread highlights a need for assistance from someone knowledgeable in communications engineering to help solve the posed probability problem. Overall, the conversation emphasizes the complexities of white Gaussian noise and the importance of foundational knowledge in signal processing.
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Homework Statement



Consider the random process X(t)=A+N(t), where A is a constant and N(t) is a white Gaussian
noise with spectral density equal to 1. The process X(t) is filtered with a system with impulse
response h(t)=u(t)exp(‐t/T).
Compute the probability that X(t), once filtered, is included in the interval [0.25A, 1.15A].

I have problems about white gaussian noise. I actually don't know the concept. I appreciate if you help me to figure it out this.
 
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Hi Nightworrier
Many here will know this much better than i do, but I can say that Gaussian white noise is noise which is present at all frequencies at equal amplitude.
Essentailly if Gaussian white noise is filtered by some process X(t) you'll get an output from X(t) that looks a lot like the frequency-wise transfer function.
Hope that might be of value!

I remember a wonderful book by F.R. Connor on Noise which may be available at your library.
 
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I am actually not familiar with that. I am a mechanical engineer and far from the idea of signals just trying to learn by myself. Could you tell the solution of this problem ? I want to understand the concept.
 
Dear Nightworrier
I apologise that I am unable to solve this problem, which lies beyond my skill. The reference I mentioned is very good, but it has been 30 years since I even looked at this kind of work.
I make this apology in the hope that some kind communications engnner may see that you still do not have the help that you need.
 
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