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The input and impulse responses of continuous time system are given below. Find out output of the continuous time systems using appropriate method.
signals and systems updated 9.2 years ago by teamques10 ★ 70k
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A continuous time signal is shown below. Sketch the following transformed versions of the signal.
signals and systems updated 9.2 years ago by teamques10 ★ 70k
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Find out even and odd component of the following signal
signals and systems updated 9.2 years ago by teamques10 ★ 70k
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Determine the fundamental period of the following signals.
signals and systems updated 9.2 years ago by teamques10 ★ 70k
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For the signal x(t) depicted in the figure given below, sketch the signals:
signals and systems updated 9.2 years ago by teamques10 ★ 70k
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Find out even and odd component of the following two signals:
signals and systems updated 9.2 years ago by teamques10 ★ 70k
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$x[n] = u[n] - u[n - 5].$ Sketch even and odd parts of x[n].
signals and systems updated 9.2 years ago by teamques10 ★ 70k
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Random Signal Analysis : Question Paper Dec 2015 - Electronics & Telecomm. (Semester 5) | Mumbai University (MU)
signals and systems updated 9.4 years ago by teamques10 ★ 70k
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Signals & Systems : Question Paper Dec 2015 - Electronics & Telecomm. (Semester 4) | Mumbai University (MU)
signals and systems updated 9.4 years ago by teamques10 ★ 70k
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$M/G/1$ queuing system.
signals and systems updated 9.5 years ago by teamques10 ★ 70k
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Explain Little$'$s Formula
signals and systems updated 9.5 years ago by teamques10 ★ 70k
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Markov Chain OR Define Markov Chain giving an example.
signals and systems updated 9.5 years ago by teamques10 ★ 70k
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The transition probability matrix
signals and systems updated 9.5 years ago by teamques10 ★ 70k
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A random process is defined by X(t) = 10cos(100t+ $\theta$) where $\theta$ is uniformly distributed in $(0, 2\pi)$. Verify whether X(t) WSS random Process and correlation ergodic.
signals and systems updated 9.5 years ago by teamques10 ★ 70k
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State and explain various properties of autocorrelation function and power spectral density function.
signals and systems updated 9.5 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 9.5 years ago by teamques10 ★ 70k
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Short Note: LTI systems with stochastic input
signals and systems updated 9.5 years ago by teamques10 ★ 70k
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Define autocorrelation function of a WSS random variable.
signals and systems updated 9.5 years ago by teamques10 ★ 70k
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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 9.5 years ago by teamques10 ★ 70k
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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 9.5 years ago by teamques10 ★ 70k
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show that X(t) is stationary
signals and systems updated 9.5 years ago by teamques10 ★ 70k
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State and explain: i. Independent Events ii. Joint and conditional probabilities of events
signals and systems updated 9.5 years ago by teamques10 ★ 70k
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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 9.5 years ago by teamques10 ★ 70k
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6.7k
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autocorrelation function of a WSS random variable
signals and systems updated 9.5 years ago by teamques10 ★ 70k
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7.7k
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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 9.5 years ago by teamques10 ★ 70k
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