• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar

ALLSIGNALPROCESSING.COM

Learn signal processing online

  • Home
  • Courses
  • Courses
  • About
  • FAQ
  • My Account
  • Blog
  • News
  • Contact
  • Login
  • Logout
  • Get All Access

Cross Spectra and Coherence

February 2, 2019 by 3200 Creative

Cross Spectra and Coherence

Time limit: 0

Quiz Summary

0 of 4 Questions completed

Questions:

Information

You have already completed the quiz before. Hence you can not start it again.

Quiz is loading…

You must sign in or sign up to start the quiz.

You must first complete the following:

Results

Quiz complete. Results are being recorded.

Results

0 of 4 Questions answered correctly

Your time:

Time has elapsed

You have reached 0 of 0 point(s), (0)

Earned Point(s): 0 of 0, (0)
0 Essay(s) Pending (Possible Point(s): 0)

Categories

  1. Not categorized 0%
  1. 1
  2. 2
  3. 3
  4. 4
  1. Current
  2. Review
  3. Answered
  4. Correct
  5. Incorrect
  1. Question 1 of 4
    1. Question

    The cross spectrum for two wide-sense stationary random processes is the discrete-time Fourier transform of

    Correct
    Incorrect
  2. Question 2 of 4
    2. Question

    If the cross spectrum is large at a given frequency, the corresponding sinusoidal components of the two signals

    Correct
    Incorrect
  3. Question 3 of 4
    3. Question

    The magnitude-squared coherence at a given frequency indicates the degree of correlation between the sinusoidal components of the signals at that frequency.

    Correct
    Incorrect
  4. Question 4 of 4
    4. Question

    If one signal is the input to a linear time-invariant system and the other signal is the output, the magnitude-squared coherence between the signals is

    Correct
    Incorrect

Filed Under: Uncategorized

Primary Sidebar

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

Courses

  • Foundations

  • Time Domain LTI Systems

  • Fourier Series and Transforms

  • Sampling and Reconstruction

  • The DFT and Applications

  • The Z-Transform

  • Intro to Filter Design

  • IIR Filter Design

  • 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

Copyright © 2023 ALLSIGNALPROCESSING.COM | Site Design by 3200 Creative

  • Terms of Service
  • Privacy Policy
  • Contact