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Inversion of the z Transform Partial Fraction Expansion

February 2, 2019 by 3200 Creative

Inversion of the z Transform Partial Fraction Expansion

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  1. Question 1 of 6
    1. Question

    The partial fraction expansion approach for inverting z-transforms applies to rational z-transforms.

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  2. Question 2 of 6
    2. Question

    The partial fraction expansion approach for inverting z-transforms involves factoring the denominator polynomial into a product of first-order polynomials.

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  3. Question 3 of 6
    3. Question

    The partial fraction expansion approach for inverting z-transforms can be used to find the inverse z-transform of transcendental X(z) such as X(z) = \sin(2z).

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  4. Question 4 of 6
    4. Question

    The partial fraction expansion approach for inverting z-transforms applies only to right-sided signals.

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  5. Question 5 of 6
    5. Question

    The partial fraction expansion approach for inverting z-transforms is based on writing X(z) as a sum of simple terms whose inverse z-transforms are known.

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  6. Question 6 of 6
    6. Question

    The partial fraction expansion approach for inverting z-transforms requires knowledge of the region of convergence (or equivalent information) to determine whether the inverse of each term is right sided or left sided.

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Course Lessons

  • Introduction to the [latex]z[/latex]-Transform

  • The Region of Convergence for the [latex]z[/latex]-Transform

  • Poles and Zeros of the [latex]z[/latex]-Transform

  • Properties of the Region of Convergence

  • Inversion of the [latex]z[/latex]-Transform via Power Series Expansion

  • Inversion of the [latex]z[/latex]-Transform: Partial Fraction Expansion

  • Properties of the [latex]z[/latex]-Transform

  • [latex]z[/latex]-Transform Analysis of LTI Systems

  • Stability and Causality of LTI Systems Described by Difference Equations

  • Inverse Systems for LTI Systems Described by Difference Equations

  • Minimum-Phase and All-Pass Systems

  • Frequency Response Magnitude and Poles and Zeros

  • Impulse Response and Poles and Zeros

Courses

  • Foundations

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  • Fourier Series and Transforms

  • Sampling and Reconstruction

  • The DFT and Applications

  • The Z-Transform

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  • 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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