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Z-Plane Analysis DR. Wajiha Shah

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Content Introduction z-Transform Zeros and Poles Region of Convergence Important z-Transform Pairs Inverse z-Transform z-Transform Theorems and Properties System Function

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The z-Transform Introduction

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Why z-Transform? A generalization of Fourier transform Why generalize it? – FT does not converge on all sequence – Notation good for analysis – Bring the power of complex variable theory deal with the discrete-time signals and systems

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The z-Transform z-Transform

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Definition The z-transform of sequence x(n) is defined by Let z = e j. Fourier Transform

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z-Plane Re Im z = e j Fourier Transform is to evaluate z-transform on a unit circle.

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z-Plane Re Im X(z)X(z) Re Im z = e j

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Periodic Property of FT Re Im X(z)X(z) X(e j ) Can you say why Fourier Transform is a periodic function with period 2 ?

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z-Plane Analysis Zeros and Poles

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Definition Give a sequence, the set of values of z for which the z-transform converges, i.e., |X(z)|<, is called the region of convergence. ROC is centered on origin and consists of a set of rings.

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Example: Region of Convergence Re Im ROC is an annual ring centered on the origin. r

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Stable Systems Re Im 1 A stable system requires that its Fourier transform is uniformly convergent. Fact: Fourier transform is to evaluate z-transform on a unit circle. A stable system requires the ROC of z-transform to include the unit circle.

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Example: A right sided Sequence 12345678910-2-3-4-5-6-7-8 n x(n)x(n)...

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Example: A right sided Sequence For convergence of X(z), we require that

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a a Example: A right sided Sequence ROC for x(n)=a n u(n) Re Im 1 a a Re Im 1 Which one is stable?

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Example: A left sided Sequence 12345678910-2-3-4-5-6-7-8 n x(n)x(n)...

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Example: A left sided Sequence For convergence of X(z), we require that

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a a Example: A left sided Sequence ROC for x(n)= a n u( n 1) Re Im 1 a a Re Im 1 Which one is stable?

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The z-Transform Region of Convergence

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Example: A right sided Sequence Re Im a ROC is bounded by the pole and is the exterior of a circle.

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Example: A left sided Sequence Re Im a ROC is bounded by the pole and is the interior of a circle.

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Example: Sum of Two Right Sided Sequences Re Im 1/2 1/3 1/12 ROC is bounded by poles and is the exterior of a circle. ROC does not include any pole.

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Example: A Two Sided Sequence Re Im 1/2 1/3 1/12 ROC is bounded by poles and is a ring. ROC does not include any pole.

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Example: A Finite Sequence Re Im ROC: 0 < z < ROC does not include any pole. N-1 poles N-1 zeros Always Stable

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Properties of ROC A ring or disk in the z-plane centered at the origin. The Fourier Transform of x(n) is converge absolutely iff the ROC includes the unit circle. The ROC cannot include any poles Finite Duration Sequences: The ROC is the entire z-plane except possibly z=0 or z=. Right sided sequences: The ROC extends outward from the outermost finite pole in X(z) to z=. Left sided sequences: The ROC extends inward from the innermost nonzero pole in X(z) to z=0.

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More on Rational z-Transform Re Im abc Consider the rational z-transform with the pole pattern: Find the possible ROCs

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More on Rational z-Transform Re Im abc Consider the rational z-transform with the pole pattern: Case 1: A right sided Sequence.

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More on Rational z-Transform Re Im abc Consider the rational z-transform with the pole pattern: Case 2: A left sided Sequence.

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More on Rational z-Transform Re Im abc Consider the rational z-transform with the pole pattern: Case 3: A two sided Sequence.

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More on Rational z-Transform Re Im abc Consider the rational z-transform with the pole pattern: Case 4: Another two sided Sequence.

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The z-Transform Important z-Transform Pairs

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Z-Transform Pairs Sequencez-TransformROC All z All z except 0 (if m>0) or (if m<0)

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Z-Transform Pairs Sequencez-TransformROC

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The z-Transform Inverse z-Transform

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The z-Transform z-Transform Theorems and Properties

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Linearity Overlay of the above two ROCs

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Shift

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Multiplication by an Exponential Sequence

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Differentiation of X(z)

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Conjugation

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Reversal

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Real and Imaginary Parts

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Initial Value Theorem

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Convolution of Sequences

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The z-Transform System Function

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Shift-Invariant System h(n)h(n) h(n)h(n) x(n)x(n) y(n)=x(n)*h(n) X(z)X(z)Y(z)=X(z)H(z) H(z)H(z)

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Shift-Invariant System H(z)H(z) H(z)H(z) X(z)X(z) Y(z)Y(z)

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N th -Order Difference Equation

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Representation in Factored Form Contributes poles at 0 and zeros at c r Contributes zeros at 0 and poles at d r

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Stable and Causal Systems Re Im Causal Systems : ROC extends outward from the outermost pole.

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Stable and Causal Systems Re Im Stable Systems : ROC includes the unit circle. 1

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Example Consider the causal system characterized by Re Im 1 a

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Determination of Frequency Response from pole-zero pattern A LTI system is completely characterized by its pole-zero pattern. Example: Re Im z1z1 p1p1 p2p2

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Determination of Frequency Response from pole-zero pattern A LTI system is completely characterized by its pole-zero pattern. Example: Re Im z1z1 p1p1 p2p2 |H(e j )|=? H(e j )=?

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Determination of Frequency Response from pole-zero pattern A LTI system is completely characterized by its pole-zero pattern. Example: Re Im z1z1 p1p1 p2p2 |H(e j )|=? H(e j )=? |H(e j )| = | 1 2 3 H(e j ) = 1 ( 2 + 3 )

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Example Re Im a dB

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Department of Computer Eng. Sharif University of Technology Discrete-time signal processing Chapter 3: THE Z-TRANSFORM Content and Figures are from Discrete-Time.

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