Step 1: The transfer function of the system is given by \( H(z) = \frac{1}{1 - 0.25z^{-1}} \). The noise power or variance is calculated as: \[ \sigma_o^2 = \sigma^2 \times \sum_{n=-\infty}^{\infty} |h[n]|^2 \]
Step 2: First, find the impulse response: Since \( H(z) = \frac{1}{1 - 0.25z^{-1}} \), the h[n] becomes a decaying exponential: \( h[n] = (0.25)^n u[n] \)
Step 3: Find the sum of the square of the impulse response: \[ \sum_{n=0}^\infty |(0.25)^n|^2 = \sum_{n=0}^\infty (0.25)^{2n} \] \[ = \frac{1}{1 - 0.25^2} = \frac{1}{1 - 0.0625} = \frac{1}{0.9375} = 1.066 \] Therefore the output noise variance is 1.066\(\sigma^2\), which is approximately 1.06 \(\sigma^2\).