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A zero mean random signal is uniformly distributed between limits – a and + a and its mean square value is equal to its variance. Then, the RMS value of the signal is
  • a)
  • b)
  • c)
  • d)
Correct answer is option 'A'. Can you explain this answer?
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A zero mean random signal is uniformly distributed between limits &nda...
The RMS value of a signal is equal to the square root the variance, only when the signal mean is zero. In the special case, RMS <=> Standard Deviation.
Assume this signal as a continuous random variable with uniform distribution between -a and a.
Doing the Mean μ = 0 and Probability Density Function f(x) = 1/2a,
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A zero mean random signal is uniformly distributed between limits &nda...
The RMS value of a signal is equal to the square root the variance, only when the signal mean is zero. In the special case, RMS <=> Standard Deviation.
Assume this signal as a continuous random variable with uniform distribution between -a and a.
Doing the Mean μ = 0 and Probability Density Function f(x) = 1/2a,
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A zero mean random signal is uniformly distributed between limits – a and + a and its mean square value is equal to its variance. Then, the RMS value of the signal isa)b)c)d)Correct answer is option 'A'. Can you explain this answer?
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