For the waveforms in Fig. 26.32, determine whether the fol- lowing will be present in the Fourier series representation: a. de term b. cosine terms c. sine terms d. even-ordered harmonics e. odd-ordered harmonics

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**Transcription for Educational Website**

---

**Analyzing Fourier Series Components for a Given Waveform**

For the waveforms in Figure 26.32, determine whether the following components will be present in the Fourier series representation:

a. dc term  
b. cosine terms  
c. sine terms  
d. even-ordered harmonics  
e. odd-ordered harmonics  

**Waveform Description**

The graph depicted shows a piecewise linear waveform \( f(t) \) that resembles a triangular wave. The waveform has the following characteristics:

- It is periodic with a period denoted as \( T \).
- The waveform symmetrically oscillates between two amplitudes, \( A_m \) and \(-A_m\).
- Key points on the time axis are labeled as \( -\frac{T}{2} \), \( 0 \), and \( \frac{T}{2} \).
- The waveform is continuous and linear between these points, forming a triangular shape.

**Graph Explanation**

- The x-axis represents time \( t \).
- The y-axis represents the waveform amplitude \( f(t) \).
- The waveform starts at \( t = -T \), rises linearly to reach \( A_m \) at \( t = -\frac{T}{2} \), drops linearly to \( -A_m \) at \( t = 0 \), and then rises again to \( A_m \) at \( t = \frac{T}{2} \).
- This pattern repeats every period \( T \).

In conclusion, this waveform will have specific Fourier series components based on its symmetry and periodicity, which observers can analyze for applications in signal processing and communications.
Transcribed Image Text:**Transcription for Educational Website** --- **Analyzing Fourier Series Components for a Given Waveform** For the waveforms in Figure 26.32, determine whether the following components will be present in the Fourier series representation: a. dc term b. cosine terms c. sine terms d. even-ordered harmonics e. odd-ordered harmonics **Waveform Description** The graph depicted shows a piecewise linear waveform \( f(t) \) that resembles a triangular wave. The waveform has the following characteristics: - It is periodic with a period denoted as \( T \). - The waveform symmetrically oscillates between two amplitudes, \( A_m \) and \(-A_m\). - Key points on the time axis are labeled as \( -\frac{T}{2} \), \( 0 \), and \( \frac{T}{2} \). - The waveform is continuous and linear between these points, forming a triangular shape. **Graph Explanation** - The x-axis represents time \( t \). - The y-axis represents the waveform amplitude \( f(t) \). - The waveform starts at \( t = -T \), rises linearly to reach \( A_m \) at \( t = -\frac{T}{2} \), drops linearly to \( -A_m \) at \( t = 0 \), and then rises again to \( A_m \) at \( t = \frac{T}{2} \). - This pattern repeats every period \( T \). In conclusion, this waveform will have specific Fourier series components based on its symmetry and periodicity, which observers can analyze for applications in signal processing and communications.
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