Determine the Fourier transform for the signal x(t) given in Figure Q1(a). An arbitrary system has impulse response given h(t) = e¯²tu(t). If the signal x(t) is passed through the system, determine the output signal y(t) using Fourier analysis.

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**Fourier Transform and Signal Processing**

### Problem Statement

Determine the Fourier transform for the signal \( x(t) \) given in **Figure Q1(a)**.

An arbitrary system has an impulse response given by \( h(t) = e^{-2t}u(t) \). If the signal \( x(t) \) is passed through the system, determine the output signal \( y(t) \) using Fourier analysis.

**Hint:**
\[ \text{sinc}\left(\frac{\omega}{2}\right) = \frac{e^{ \frac{j\omega}{2}} - e^{ -\frac{j\omega}{2}}}{j \omega} \]

### Figure Explanation

**Figure Q1(a)** presents a graphical representation of the signal \( x(t) \) as a function of time \( t \).

- The signal \( x(t) \) is defined as follows:
  - For \( t < 0 \), \( x(t) = 0 \).
  - At \( t = 0 \), \( x(t) = 1 \).
  - For \( 0 < t \leq 1 \), \( x(t) \) maintains a constant value of 1.
  - For \( 1 < t \leq 2 \), \( x(t) \) linearly decreases from 1 to 0.
  - For \( t > 2 \), \( x(t) = 0 \).

The \( x \)-axis represents time ( \( t \) ), and the \( y \)-axis represents the signal amplitude ( \( x(t) \) ).

**Figure Q1(a):**
Graph of the signal \( x(t) \)

This problem requires finding the Fourier transform of \( x(t) \), determining how an arbitrary system with impulse response \( h(t) = e^{-2t}u(t) \) affects the signal, and then computing the output signal \( y(t) \) via Fourier analysis. The hint provides a useful mathematical identity involving the sinc function to facilitate the Fourier transform calculation.
Transcribed Image Text:**Fourier Transform and Signal Processing** ### Problem Statement Determine the Fourier transform for the signal \( x(t) \) given in **Figure Q1(a)**. An arbitrary system has an impulse response given by \( h(t) = e^{-2t}u(t) \). If the signal \( x(t) \) is passed through the system, determine the output signal \( y(t) \) using Fourier analysis. **Hint:** \[ \text{sinc}\left(\frac{\omega}{2}\right) = \frac{e^{ \frac{j\omega}{2}} - e^{ -\frac{j\omega}{2}}}{j \omega} \] ### Figure Explanation **Figure Q1(a)** presents a graphical representation of the signal \( x(t) \) as a function of time \( t \). - The signal \( x(t) \) is defined as follows: - For \( t < 0 \), \( x(t) = 0 \). - At \( t = 0 \), \( x(t) = 1 \). - For \( 0 < t \leq 1 \), \( x(t) \) maintains a constant value of 1. - For \( 1 < t \leq 2 \), \( x(t) \) linearly decreases from 1 to 0. - For \( t > 2 \), \( x(t) = 0 \). The \( x \)-axis represents time ( \( t \) ), and the \( y \)-axis represents the signal amplitude ( \( x(t) \) ). **Figure Q1(a):** Graph of the signal \( x(t) \) This problem requires finding the Fourier transform of \( x(t) \), determining how an arbitrary system with impulse response \( h(t) = e^{-2t}u(t) \) affects the signal, and then computing the output signal \( y(t) \) via Fourier analysis. The hint provides a useful mathematical identity involving the sinc function to facilitate the Fourier transform calculation.
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