1. The transfer function of a causal LTI system is: (1– 0.5 e# :-") (1– 0.5e# H(2) = z-1) (1– 0.5 e 1 – 0.25 z-2 (a) Write down the difference equation representation of the system. Note: cos (품) %3D 0.5. (b) Find the natural response of the system y n]. Your answer may contain unknown coefficients, A1 and A2. (c) Find the forced response of the system when x[n] the forced response is of the form ypn] = Kun], where K is a constant you have to u n]. You can assume that determine.

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### Problem Statement on the Transfer Function of a Causal LTI System

#### 1. The transfer function of a causal LTI system is:

\[ H(z) = \frac{\left(1 - 0.5e^{j\frac{\pi}{3}}z^{-1}\right)\left(1 - 0.5e^{-j\frac{\pi}{3}}z^{-1}\right)}{1 - 0.25z^{-2}} \]

_(a) Write down the difference equation representation of the system._

**Note:** \(\cos\left(\frac{\pi}{3}\right) = 0.5\).

_(b) Find the natural response of the system \(y[n]\). Your answer may contain unknown coefficients, \(A_1\) and \(A_2\)._

_(c) Find the forced response of the system when \(x[n] = u[n]\). You can assume that the forced response is of the form \(y_p[n] = K u[n]\), where \(K\) is a constant you have to determine._

_(d) Using your answers in parts (b) and (c), find the complete response of the system, given that the system is initially relaxed._

_(e) Using your answer in part (d), find the steady state response of the system._

---

#### Explanation of Content

**1. The Transfer Function:**
The transfer function provided defines the behavior of a Linear Time-Invariant (LTI) system in terms of the complex frequency variable \(z\). It comprises a numerator and a denominator, each representing parts of the system's behavior.

**Difference Equation Representation:**
The difference equation corresponds to the time-domain representation of the transfer function. This is a crucial step for implementing the LTI system using digital filters.

**Natural Response:** 
The natural response of the system refers to its behavior with no external input, determined by its characteristic equation. The coefficients \(A_1\) and \(A_2\) will be generalized constants representing initial conditions.

**Forced Response:**
The forced response depicts the system’s reaction to an external input, in this case, the unit step function \(u[n]\). The form \(y_p[n] = K u[n]\) simplifies calculations, with \(K\) being a proportional constant identifying the steady-state gain from input to output.

**Complete Response:**
Combining the natural and forced responses
Transcribed Image Text:### Problem Statement on the Transfer Function of a Causal LTI System #### 1. The transfer function of a causal LTI system is: \[ H(z) = \frac{\left(1 - 0.5e^{j\frac{\pi}{3}}z^{-1}\right)\left(1 - 0.5e^{-j\frac{\pi}{3}}z^{-1}\right)}{1 - 0.25z^{-2}} \] _(a) Write down the difference equation representation of the system._ **Note:** \(\cos\left(\frac{\pi}{3}\right) = 0.5\). _(b) Find the natural response of the system \(y[n]\). Your answer may contain unknown coefficients, \(A_1\) and \(A_2\)._ _(c) Find the forced response of the system when \(x[n] = u[n]\). You can assume that the forced response is of the form \(y_p[n] = K u[n]\), where \(K\) is a constant you have to determine._ _(d) Using your answers in parts (b) and (c), find the complete response of the system, given that the system is initially relaxed._ _(e) Using your answer in part (d), find the steady state response of the system._ --- #### Explanation of Content **1. The Transfer Function:** The transfer function provided defines the behavior of a Linear Time-Invariant (LTI) system in terms of the complex frequency variable \(z\). It comprises a numerator and a denominator, each representing parts of the system's behavior. **Difference Equation Representation:** The difference equation corresponds to the time-domain representation of the transfer function. This is a crucial step for implementing the LTI system using digital filters. **Natural Response:** The natural response of the system refers to its behavior with no external input, determined by its characteristic equation. The coefficients \(A_1\) and \(A_2\) will be generalized constants representing initial conditions. **Forced Response:** The forced response depicts the system’s reaction to an external input, in this case, the unit step function \(u[n]\). The form \(y_p[n] = K u[n]\) simplifies calculations, with \(K\) being a proportional constant identifying the steady-state gain from input to output. **Complete Response:** Combining the natural and forced responses
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