Posting Guidelines for T.Engineer - Graduate/Post-Graduate Level

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SUMMARY

The forum discussion outlines the posting guidelines for graduate and post-graduate level queries on the topic of Hermite polynomials and their applications in signal processing. Participants are instructed to clearly identify their problems, show their work, and ask specific questions. The discussion includes mathematical formulations of Hermite polynomials, their modulation for multiple access interference, and the derivation of probability density functions, means, and variances. Key equations such as the orthogonality condition and the implications of modifying Hermite polynomials with cosine functions are also examined.

PREREQUISITES
  • Understanding of Hermite polynomials and their mathematical properties.
  • Familiarity with signal processing concepts, particularly multiple access interference.
  • Knowledge of probability density functions, means, and variances in statistical analysis.
  • Experience with mathematical derivation and integration techniques.
NEXT STEPS
  • Study the properties and applications of Hermite polynomials in signal processing.
  • Learn about multiple access techniques and their impact on signal transmission.
  • Explore the derivation of probability density functions in the context of Hermite polynomials.
  • Investigate the implications of modifying mathematical functions with cosine terms in signal processing.
USEFUL FOR

Graduate students, researchers in signal processing, and professionals working on communication systems who require a deep understanding of Hermite polynomials and their applications in reducing interference in multi-user environments.

  • #31
That's a good guess, but you should try to derive (19) from (18) and (17) to understand the mechanics.
 
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  • #32
let assume that our function g(t) instead of H(t)
So that,

g(t)= (-1)^n * e^(t^2) * d^n/dt^n * e^(-t^2)* cos (2 pi fc t)

1. we can say that g(t) can satisfied equations 15 and 17 because of its orthogonality properties.
Is that true?

2. in equation 18, I didnt understand what C_n,m(t) is reffered to?
 
  • #33
according to the text that I have and I couldn't attached it here, the coeffecient C_m,n(t) is the the cross correlation function between nth and mth order pulses at point t.
 
  • #35
EnumaElish said:
What is equation [9]? Or is it source [9]?

It is a reference which is : A. D. Poularikas, The Transforms and Applications Hand book CRC Press, Boca Raton, Fla, USA, 2nd edition, 2000.
 
  • #36
Do you have it, or can you get it?
 
  • #37
EnumaElish said:
Do you have it, or can you get it?

No, I don't have it.
 
  • #38
Is there a library near you?
 
  • #39
yes, why?
I don't think that they have it.
 
Last edited:
  • #40
Have you worked on deriving (19)?
 
  • #41
As I said to you:
let assume that our function g(t) instead of H(t)
So that,

g(t)= (-1)^n * e^(t^2) * d^n/dt^n * e^(-t^2)* cos (2 pi fc t)

we can say that g(t) can satisfied equations 15 and 17 because of its orthogonality properties.
Is that true?
 
  • #42
Is cos (2 pi fc t) positive over the relevant range?

You may want to post it in the homework section as a separate question.
 
  • #43
OK, I will.
Thank you very much!
 
  • #44
If the value of fc will be chosen in such a way that still keep the orthogonality property of Hermite polynomial, then orthogonality is preserved. (15) will apply, although with a different normalization constant and different psi functions.

New psi = old psi * cos (2 pi fc t).
 
  • #45
(15) will apply, although with a different normalization constant

do you mean with different N_n which is represented by eq(16)
 
  • #46
Correct; that's because the integral in (15) will evaluate to a different output.

Another possibility is N_n will remain the same, but the delta will be different. Or both might change.

But the "qualitative" result will not change, as long as fc is chosen to preserve orthogonality. That is, you will get to (17) with the new psi functions.
 
  • #47
1. please, can tell me how to find the normalization coeffecient N_n?
2. you said different δ _n,m.
I know thet δ _n,m is Kronecker delta function, how it can be changed?
Thanks a lot!
 
  • #48
1. N is determined by the output of the integral in (15). If the integral evaluated to δ*K for arbitrary K, then the norm. constant would have been N = 1/sqrt(K).

2. The δ itself won't change; but you may have something like Integral = z(δ 2nn!\sqrt{\pi}) for some function z.
 
  • #49
1. you mean for arbitrary n,m.
2. what do you mean by z.
3. can you tell me how to evalute eq(15) to get this result: δ_n,m 2^n n! sqr(pi).
if I you will know how they get this result for Hn, Hm, so I can also evaluted for my equation with Hn * cos (...)
but this is my problem I don't know how they get this general formula.
 
  • #50
1. yes

2. arbitrary function that results from including the cos term in the integrand (I haven't tried to integrate (15) with or without the cos term, so I don't know what z actually "looks like," even if we assume that a closed-form solution exists with the cos term)

3. I don't know; I think [9] might have the answer. Someone has suggested to look it up from an integration table (under another thread in the homework section).
 
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