-20 40 -60 -80 0.4 0.2 Normalized Frequency (x rad/sample) 0.1 0.3 0.5 0.6 0.7 0.8 0.9 1. 100 -100 -200 0.1 02 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 Normalized Frequency (xa rad/sample) Determine, to your best approximation, the output signal y[n] when the input signal is x[n] = 3+2cos(0.1zn+0.17)+2cos(0.5an) Phase (degrees) Magnitude (dB)

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### Problem 4: Frequency Response of a Stable Linear Filter

The frequency response of a stable Linear Filter is depicted below, with the magnitude given in decibels (dBs) and the phase in degrees.

#### Frequency Response Graphs

1. **Magnitude Plot (Top Graph)**
   - **Vertical Axis (Magnitude in dB)**: This shows the level of the frequency response in decibels. Values range from -80 dB to 0 dB.
   - **Horizontal Axis (Normalized Frequency)**: This is normalized to \(\pi\) radians per sample (rad/sample), ranging from 0 to 1.

   The graph exhibits periodic nulls (zero magnitude points) at regular intervals in the normalized frequency domain.

2. **Phase Plot (Bottom Graph)**
   - **Vertical Axis (Phase in degrees)**: This shows the phase shift introduced by the filter in degrees, with values ranging from -200 to 100 degrees.
   - **Horizontal Axis (Normalized Frequency)**: As with the magnitude plot, this is also normalized to \(\pi\) radians per sample (rad/sample), ranging from 0 to 1.

   The phase response is a linear descending pattern, resetting every 0.2 units in the normalized frequency axis.

#### Problem Statement

Determine the best approximation of the output signal \( y[n] \) when the input signal is given by:

\[ x[n] = 3 + 2 \cos (0.1 \pi n + 0.1\pi) + 2 \cos (0.5 \pi n) \]

#### Important Note

Recall that a value \( X_{dB} \) is related to \( X \) by the following equation:

\[ X_{dB} = 20 \log_{10} (X) \]

and therefore, 

\[ X = 10^{X_{dB}/20} \]

---

To solve the problem, analyze the input signal's frequency components and correlate them with the filter's response characteristics. Use the provided frequency responses to determine how each component of the input signal is affected by the filter.
Transcribed Image Text:### Problem 4: Frequency Response of a Stable Linear Filter The frequency response of a stable Linear Filter is depicted below, with the magnitude given in decibels (dBs) and the phase in degrees. #### Frequency Response Graphs 1. **Magnitude Plot (Top Graph)** - **Vertical Axis (Magnitude in dB)**: This shows the level of the frequency response in decibels. Values range from -80 dB to 0 dB. - **Horizontal Axis (Normalized Frequency)**: This is normalized to \(\pi\) radians per sample (rad/sample), ranging from 0 to 1. The graph exhibits periodic nulls (zero magnitude points) at regular intervals in the normalized frequency domain. 2. **Phase Plot (Bottom Graph)** - **Vertical Axis (Phase in degrees)**: This shows the phase shift introduced by the filter in degrees, with values ranging from -200 to 100 degrees. - **Horizontal Axis (Normalized Frequency)**: As with the magnitude plot, this is also normalized to \(\pi\) radians per sample (rad/sample), ranging from 0 to 1. The phase response is a linear descending pattern, resetting every 0.2 units in the normalized frequency axis. #### Problem Statement Determine the best approximation of the output signal \( y[n] \) when the input signal is given by: \[ x[n] = 3 + 2 \cos (0.1 \pi n + 0.1\pi) + 2 \cos (0.5 \pi n) \] #### Important Note Recall that a value \( X_{dB} \) is related to \( X \) by the following equation: \[ X_{dB} = 20 \log_{10} (X) \] and therefore, \[ X = 10^{X_{dB}/20} \] --- To solve the problem, analyze the input signal's frequency components and correlate them with the filter's response characteristics. Use the provided frequency responses to determine how each component of the input signal is affected by the filter.
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