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Y[n] + 4y[n-2] = x[n] - 2x[n-1]

Impulse response of the above system is h[n] = √2(2)ⁿ cos(π/2.n + π/4)u[n]
The zero-state response is y[n] = x[n] * h[n]
Calculate the zero-state response (ZSR) of the system to the input x[n] = u[n], hand calculation without using Matlab

User Deneb
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Final answer:

The zero-state response of the system when x[n] = u[n] is found by using the convolution sum of the unit step function and the given impulse response. This involves summing over a geometric series of terms that are determined by whether n is even or odd, due to the cosine function in the impulse response.

Step-by-step explanation:

Calculating the Zero-State Response (ZSR)

To calculate the zero-state response of the system when the input x[n] = u[n], where u[n] is the unit step function, we use the convolution sum. Since the impulse response of the system h[n] is given, the zero-state response can be found using:

y[n] = x[n] * h[n]

For x[n] = u[n], the convolution y[n] is:

y[n] = sum(u[k] × h[n-k]) from k=0 to n

Because u[n] is 1 for all n ≥0 and 0 otherwise, the sum simplifies to:

y[n] = sum(h[n-k]) from k=0 to n

Substituting the given impulse response:

y[n] = sum(√2(2)^(n-k) cos(π/2 × (n-k) + π/4)u[n-k]) from k=0 to n

Since u[n-k] is only 1 for indices n-k ≥ 0, we only sum over terms where k ≤ n. For each term in the sum, cos(π/2 × (n-k) + π/4) simplifies to √2/2 for even values of n-k and 0 for odd values, due to the properties of the cosine function and the factor of π/2.

The final expression for y[n] would be the sum of these terms which requires simplification depending on whether n is even or odd. This process involves summing a geometric series for even terms of n.

User Lazarus Rising
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