Random variables and Random processes.

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SUMMARY

The discussion focuses on the challenges of understanding random variables and random processes in the context of communication system engineering. A specific example involves a Gaussian probability density function (PDF) with mean (μ) = 0 and variance (σ) applied to a half-wave rectifier. The participant expresses difficulty in linking theoretical concepts to practical applications, particularly in deriving the output PDF after rectification. A suggestion is made that the rectifying action results in a PDF with a spike at zero and retains the positive values unchanged.

PREREQUISITES
  • Understanding of Gaussian probability density functions (PDFs)
  • Familiarity with half-wave rectification in signal processing
  • Basic knowledge of random variables and random processes
  • Experience with probability theory in engineering contexts
NEXT STEPS
  • Study the derivation of output PDFs for various signal processing techniques
  • Explore resources on Gaussian random variables and their applications
  • Learn about half-wave rectification and its effects on signal distributions
  • Review textbooks or online courses focused on probability theory in communication systems
USEFUL FOR

This discussion is beneficial for communication system engineers, signal processing students, and anyone seeking to deepen their understanding of random variables and their practical applications in engineering contexts.

iHavoc
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I didn't post this in the probability section cause the questions I have are more regarded to communication system engineering.

I haven't actually been able to wrap my head around these concepts mainly cause all the study material I use have these really ambiguous explanations of each concept wherein, no physical examples are given. This whole thing seems very abstract, nothing seems intuitive.

I can't establish links between the concepts, EVERYTHING seems new and it feels like there is no relation between one another.

For example:

There was this question where a random variable that follows a gaussian pdf with μ = 0, and variance = σ, is applied to a half wave rectifier. Find the PDF of the output.

I honestly have NO idea on how to go about solving it, it just seems like nothing I've read so far can really help me with this.

It would be awesome if someone could recommend a good book or link me to course material where a few examples are solved so I can understand what's going on.
 
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iHavoc said:
For example:

There was this question where a random variable that follows a gaussian pdf with μ = 0, and variance = σ, is applied to a half wave rectifier. Find the PDF of the output.

I honestly have NO idea on how to go about solving it, it just seems like nothing I've read so far can really help me with this. [
I'd say that the ½λ rectifying action means that values of negative input all become zeros in the output. So the PDF would have a tall spike at 0 with the right half (the positive values) of the graph remaining unchanged. That's my guess. :smile:

http://img96.imageshack.us/img96/5725/red5e5etimes5e5e45e5e25.gif
 
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