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Signals And Systems

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2
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2
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Define and Explain:
signals and systems updated 8.7 years ago by teamques10 ★ 70k
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State and prove duality property of Fourier transform.
signals and systems updated 3.6 years ago by teamques10 ★ 70k
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Short Note: LTI systems with stochastic input
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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13k
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State and explain various properties of autocorrelation function and power spectral density function.
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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Define an ergodic process. Determine whether the stochastic process X(t) = Asin(t) + Bcos(t) is ergodic. Here A& B are normally distributed independent r.vs with zero mean and equal standard deviation
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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Short Note: LTI systems with stochastic input
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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1
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7.9k
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Prove that if input LTI system is WSS the output is also WSS. What is Ergodic process?
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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1
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What is Power spectral Density? Explain its significance. Find the power spectral density of random process given by X(t) = acos(bt+Y) where Y is random variable uniformly distributed over $0, 2\pi$
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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1.8k
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show that X(t) is stationary
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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1
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1.9k
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State and explain: i. Independent Events ii. Joint and conditional probabilities of events
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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1
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630
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Find exponential series for the signal shown in figure,
signals and systems updated 2.5 years ago by prajapatijaimin • 3.3k
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6.6k
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autocorrelation function of a WSS random variable
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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1
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7.6k
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What is Power spectral Density? Explain significance.Find the power spectral density of random process given by X(t) = acos(bt+Y) where Y is a random variable uniformly distributed over (0,2$\pi$)
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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1
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State and prove Total Probability theorem and Bayes theorem?
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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1
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1
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State and explain various properties of autocorrelation function and power spectral density function.
signals and systems updated 9.0 years ago by teamques10 ★ 70k
0
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1
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2.8k
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1
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Define an ergodic process. Determine whether the stochastic process X(t) = Asin(t) + Bcos(t) is ergodic. Here A& B are normally distributed independent r.vs with zero mean and equal standard deviation
signals and systems updated 9.0 years ago by teamques10 ★ 70k
0
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1
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1.5k
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1
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autocorrelation function of the equation
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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Let X1, X2, X3,...........be sequence of Random variables
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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1
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5.2k
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1
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Use central theorem to find how large a sample should be taken from the distribution in order that the probability
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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1
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1.9k
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1
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Explain strong law of large numbers and weak law of large numbers
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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1
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2.3k
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1
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X and Y are two random variables for which joint pdf is given by P(x=i, y=j) = c (i+j) i=1, 2, 3, 4; j=1, 2, 3 find c and conditional mean and variance of X given Y=1.
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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The joint density function of two continuous r.$v'$s X and Y is
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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1
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1.3k
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Explain what is moment generating function and why is it called so?
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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1
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1.5k
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1
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Compute the following pdf
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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1
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1.5k
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1
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Find Out the probability
signals and systems updated 9.0 years ago by teamques10 ★ 70k
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