What is the z-transform of the signal x(n)=sin(jω0n)u(n)?a) z−1sinω01+2z−1cosω0+z−2b) z−1sinω01−2z−1cosω0−z−2c) z−1cosω01−2z−1cosω0+z−2d) z−1sinω01−2z−1cosω0+z−2
Question
What is the z-transform of the signal x(n)=sin(jω0n)u(n)?a) z−1sinω01+2z−1cosω0+z−2b) z−1sinω01−2z−1cosω0−z−2c) z−1cosω01−2z−1cosω0+z−2d) z−1sinω01−2z−1cosω0+z−2
Solution
To find the z-transform of the signal x(n) = sin(jω0n)u(n), we can use the definition of the z-transform and the properties of the z-transform.
The z-transform of a discrete-time signal x(n) is defined as X(z) = Σ[x(n) * z^(-n)], where Σ represents the summation over all values of n.
In this case, we have x(n) = sin(jω0n)u(n), where u(n) is the unit step function.
To find the z-transform, we substitute x(n) into the z-transform formula:
X(z) = Σ[sin(jω0n)u(n) * z^(-n)]
Since the unit step function u(n) is equal to 1 for n ≥ 0 and 0 for n < 0, we can rewrite the z-transform as:
X(z) = Σ[sin(jω0n) * z^(-n)] for n ≥ 0
Now, let's simplify the expression further. We can use the identity sin(x) = (e^(jx) - e^(-jx))/(2j) to rewrite sin(jω0n) as:
sin(jω0n) = (e^(jω0n) - e^(-jω0n))/(2j)
Substituting this into the z-transform formula, we get:
X(z) = Σ[(e^(jω0n) - e^(-jω0n))/(2j) * z^(-n)] for n ≥ 0
Next, we can split the summation into two parts:
X(z) = (1/(2j)) * Σ[e^(jω0n) * z^(-n)] - (1/(2j)) * Σ[e^(-jω0n) * z^(-n)] for n ≥ 0
Now, we can use the property of the z-transform that states z^(-n) transforms to z^(-1) to rewrite the expression:
X(z) = (1/(2j)) * Σ[e^(jω0n) * z^(-1)] - (1/(2j)) * Σ[e^(-jω0n) * z^(-1)] for n ≥ 0
Finally, we can simplify the expression further by recognizing that the summation term Σ[e^(jω0n) * z^(-1)] is the z-transform of the signal e^(jω0n)u(n). Using the z-transform property, we know that the z-transform of e^(jω0n)u(n) is given by:
Z[e^(jω0n)u(n)] = 1/(1 - e^(jω0)z^(-1))
Therefore, we can rewrite the expression as:
X(z) = (1/(2j)) * [1/(1 - e^(jω0)z^(-1))] - (1/(2j)) * [1/(1 - e^(-jω0)z^(-1))] for n ≥ 0
Simplifying further, we get:
X(z) = (1/(2j)) * [(1 - e^(-jω0)z^(-1))/(1 - e^(jω0)z^(-1))] - (1/(2j)) * [(1 - e^(jω0)z^(-1))/(1 - e^(-jω0)z^(-1))] for n ≥ 0
Combining the terms, we have:
X(z) = (1/(2j)) * [(1 - e^(-jω0)z^(-1))/(1 - e^(jω0)z^(-1)) - (1 - e^(jω0)z^(-1))/(1 - e^(-jω0)z^(-1))] for n ≥ 0
Simplifying the expression further, we get:
X(z) = (1/(2j)) * [(1 - e^(-jω0)z^(-1) - (1 - e^(jω0)z^(-1)))/(1 - e^(-jω0)z^(-1))] for n ≥ 0
X(z) = (1/(2j)) * [(e^(jω0)z^(-1) - e^(-jω0)z^(-1))/(1 - e^(-jω0)z^(-1))] for n ≥ 0
X(z) = (1/(2j)) * [(e^(jω0) - e^(-jω0))/(z - e^(-jω0))] for n ≥ 0
Finally, we can simplify the expression further by multiplying the numerator and denominator by z to get rid of the negative exponent:
X(z) = (1/(2j)) * [(e^(jω0) - e^(-jω0))/(z - e^(-jω0))] * z/z for n ≥ 0
X(z) = (1/(2j)) * [(e^(jω0)z - e^(-jω0))/(z - e^(-jω0))] for n ≥ 0
Therefore, the z-transform of the signal x(n) = sin(jω0n)u(n) is given by option d) z^(-1)sin(ω0) + 2z^(-1)cos(ω0) + z^(-2).
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