5y[n] + 3y[n – 1] = 7x[n] + 6x[n – 1]

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Please solve using convolution or other methods, not the Laplace transform, and for this system please find both the impulse and frequency responses (for initial rest) 

**Discrete-Time System Representation**

Consider a discrete-time system given by the equation:

\[ 5y[n] + 3y[n-1] = 7x[n] + 6x[n-1] \]

**Explanation:**

This equation represents a linear time-invariant (LTI) discrete-time system. The variables used in this system are as follows:

- \( y[n] \) is the output of the system at time \( n \).
- \( x[n] \) is the input to the system at time \( n \).
- \( y[n-1] \) and \( x[n-1] \) refer to the output and input at the previous time step, respectively.

The coefficients (5, 3, 7, and 6) determine the relationship and weighting of current and past input-output signals. This equation can be used to analyze or simulate the behavior of the system in various engineering and signal processing applications.
Transcribed Image Text:**Discrete-Time System Representation** Consider a discrete-time system given by the equation: \[ 5y[n] + 3y[n-1] = 7x[n] + 6x[n-1] \] **Explanation:** This equation represents a linear time-invariant (LTI) discrete-time system. The variables used in this system are as follows: - \( y[n] \) is the output of the system at time \( n \). - \( x[n] \) is the input to the system at time \( n \). - \( y[n-1] \) and \( x[n-1] \) refer to the output and input at the previous time step, respectively. The coefficients (5, 3, 7, and 6) determine the relationship and weighting of current and past input-output signals. This equation can be used to analyze or simulate the behavior of the system in various engineering and signal processing applications.
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