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Multivariate Random Signal Characterization

February 2, 2019 by 3200 Creative

Multivariate Random Signal Characterization

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  1. Question 1 of 4
    1. Question

    The probability density function for a vector of random variables tells us: (Select all that apply)

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  2. Question 2 of 4
    2. Question

    The manner in which pairs of random variables vary together is described by

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  3. Question 3 of 4
    3. Question

    Suppose that the ith random variable tends to be greater than its mean whenever the jth random variable is greater than its mean. What can you infer?

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  4. Question 4 of 4
    4. Question

    Suppose the correlation coefficient between the ith and jth element of the random vector is zero. What can you infer?

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Course Lessons

  • Introduction to Random Signal Representations

  • Multivariable Random Signal Characterization

  • Random Processes and Stationarity

  • The Power Spectral Density

  • Cross Spectra and Coherence

  • LTI System Models for Random Signals

  • Autoregressive Models: The Yule-Walker Equations

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  • FIR Filter Design

  • Random Signal Characterization

  • Basis Representations of Signals

  • Estimation of Power Spectra and Coherence

  • Introduction to Signal Estimation and Detection Theory

  • MMSE Filtering and Least-Squares Problems

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