Step 1: Write the filter transfer function.
For a two-tap FIR filter shown, the transfer function is:
\[
H(z) = \beta_0 + \beta_1 z^{-1}
\]
In the frequency domain, substitute \( z^{-1} = e^{-j\omega} \):
\[
H(e^{j\omega}) = \beta_0 + \beta_1 e^{-j\omega}
\]
Step 2: Magnitude of the frequency response.
The magnitude becomes:
\[
|H(\omega)| = |\beta_0 + \beta_1 e^{-j\omega}|
\]
The maximum magnitude occurs when cosine term adds constructively:
\[
|H|_{\max} = |\beta_0 + \beta_1| = 1
\]
The minimum magnitude occurs when cosine term subtracts:
\[
|H|_{\min} = |\beta_0 - \beta_1|
\]
Step 3: Use the ratio of maximum to minimum.
We are given:
\[
\frac{|H|_{\max}}{|H|_{\min}} = 2
\]
\[
\frac{1}{|\beta_0 - \beta_1|} = 2
\]
\[
|\beta_0 - \beta_1| = \frac{1}{2}
\]
Step 4: Solve the equations.
We have two equations:
1. \( \beta_0 + \beta_1 = 1 \)
2. \( \beta_0 - \beta_1 = 0.5 \)
Add them:
\[
2\beta_0 = 1.5 \quad \Rightarrow \quad \beta_0 = 0.75
\]
Substitute back:
\[
0.75 + \beta_1 = 1 \quad \Rightarrow \quad \beta_1 = -0.25
\]
Step 5: Conclusion.
Thus, the correct coefficients are:
\[
\beta_0 = 0.75,\quad \beta_1 = -0.25
\]
Hence, the correct answer is (A).