Correct Answer - Option 1 : (n + 1) a
n u[n]
Concept:
Causal Signals:
- Causal Signals are signals that are zero for all negative time.
- Causality in a system determines whether a system relies on future information of a signal x [n+1].
- Talking about “causality” in signals, it means whether they are zero to the left of t = 0 or zero to the right of t = 0.
- A causal signal is zero for t < 0.
- A system is said to be causal if its output depends upon present and past inputs, and does not depend upon future input.
Calculation:
Given a casual signal,
X (Z) = z2 (z - a)-2
\(X(Z) = \frac{{{z^2}}}{{{{\left( {a - z} \right)}^2}}}\)
From standard Z-Transform,
\(n{\left( a \right)^n}u\left( n \right) \leftrightarrow \frac{{az}}{{{{\left( {z - a} \right)}^2}}}\)
\(n{\left( a \right)^{n - 1}}u\left( n \right) \leftrightarrow \frac{z}{{{{\left( {z - a} \right)}^2}}}\)
From the time-shifting property,
\(x\left( {n - {n_0}} \right) \leftrightarrow {z^{ - {n_0}}}X\left( z \right)\)
\(\left( {n + 1} \right){\left( a \right)^{n + 1 - 1}}u\left( {n + 1} \right) \leftrightarrow z\left[ {\frac{z}{{{{\left( {z - a} \right)}^2}}}} \right]\)
\(\left( {n + 1} \right){\left( a \right)^n}u\left( {n + 1} \right) \leftrightarrow \frac{{{z^2}}}{{{{\left( {z - a} \right)}^2}}}\)
Since,
\(X\left( z \right) = \frac{{{z^2}}}{{{{\left( {z - a} \right)}^2}}}\)
Therefore,
\(x\left( n \right) = \left( {n + 1} \right){\left( a \right)^n}u\left( {n + 1} \right)\)
The given signal is causal, therefore,
\(x\left( n \right) = \left( {n + 1} \right){\left( a \right)^n}u\left( n \right)\)
Z-Transform basic functions:
Sequence
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Z-Transform
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δ (n)
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1
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u (n)
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\(\frac{z}{{z - 1}}\)
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an
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\(\frac{z}{{z - a}}\)
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n (an) u (n)
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\(\frac{{az}}{{{{\left( {a - z} \right)}^2}}}\)
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n (an - 1) u (n)
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\(\frac{z}{{{{\left( {a - z} \right)}^2}}}\)
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n (an - 1) u (n - 1)
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\(\frac{1}{{z - a}}\)
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