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Signals The Basics Exercises

April 24, 2019 by allsignal

Work the problems before checking the solution.

Signals The Basics Exercises

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  1. Question 1 of 7
    1. Question

    Consider the signal depicted below.

    Select all the true statements.

    Correct
    Incorrect
  2. Question 2 of 7
    2. Question

    Consider the signal depicted below.

    The … indicates that the pattern continues outside the interval shown.

    Select all the correct statements.

    Correct
    Incorrect
  3. Question 3 of 7
    3. Question

    Consider the signal x[n] = \sin^2(\pi n/5). Select the true statement.

    Correct
    Incorrect
  4. Question 4 of 7
    4. Question

    A signal is given by y[n] =\cos^2(\pi n/6). Find the fundamental period of y[n].

    Correct
    Incorrect
  5. Question 5 of 7
    5. Question

    Consider the signal x(t) depicted below.

    Correct
    Incorrect
  6. Question 6 of 7
    6. Question

    Use the MATLAB code CTSinusoids.m to generate a graph of a sinusoid

    x(t) = 4\cos(2\pi 0.5 t +\pi/4)

    on  0 \le t \le 10 and find the fundamental period.

    Correct
    Incorrect
  7. Question 7 of 7
    7. Question

    Problem statements in pdf file here

    MATLAB code CTSinusoids.m

     

    Correct
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Course Lessons

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  • Ever-Present Noise

  • Models, Math, and Real-World Signals

  • Four Signal-Processing Themes

  • Jupyter Notebook: Explore FIR Filtering

  • Jupyter Notebook: Explore Image Filtering

  • Building Signals with Blocks: Basis Expansions

  • Signals: The Basics

  • Sinusoidal Signals

  • Sinusoidal Signals Examples

  • Complex Sinusoids

  • Exponential, Step, and Impulse Signals

  • Introduction to Linear, Time-Invariant Systems

  • Introduction to Difference Equation System Descriptions

  • Impulse Response Descriptions for LTI Systems

  • Frequency Response Descriptions for LTI Systems

  • Introduction to the System Function and System Poles and Zeros

  • The Four Fourier Representations

  • Summary Problems for Foundations

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  • 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

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