Required information Consider the following statements. A signal x1(0 has a CTFT X1(. If x2(0 = x1(t + 4), IX1(5l and IX2(0l are different. True or False True False
Required information Consider the following statements. A signal x1(0 has a CTFT X1(. If x2(0 = x1(t + 4), IX1(5l and IX2(0l are different. True or False True False
Introductory Circuit Analysis (13th Edition)
13th Edition
ISBN:9780133923605
Author:Robert L. Boylestad
Publisher:Robert L. Boylestad
Chapter1: Introduction
Section: Chapter Questions
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![### Required Information
**Consider the following statements.**
A signal \( x_1(t) \) has a Continuous-Time Fourier Transform (CTFT) \( X_1(f) \).
If \( x_2(t) = x_1(t + 4) \), \( |X_1(f)| \) and \( |X_2(f)| \) are different.
**True or False**
- [True] [False]
---
#### Explanation of Content
This section presents a theoretical statement about signal processing, specifically related to the properties of the Continuous-Time Fourier Transform (CTFT).
**Statement Analysis:**
- **Signals**:
- \( x_1(t) \): Original signal with its CTFT represented by \( X_1(f) \).
- \( x_2(t) = x_1(t + 4) \): Time-shifted version of the original signal.
- **Key Concept**:
- Time-shifting a signal in the time domain corresponds to a phase shift in the frequency domain but does not alter the magnitude of its Fourier Transform.
- **Conclusion**:
- The magnitude spectra, \( |X_1(f)| \) and \( |X_2(f)| \), of the original and time-shifted signals are **not different** despite the phase change.
#### Interactive Component:
Users are asked to determine the truth value of the statement by selecting either "True" or "False."
- **Correct Answer**: False, based on the principle that time shifts result in phase changes, not magnitude changes, in the Fourier Transform.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1b94d5d1-8249-4b1b-8d70-6007d482e8f0%2F2a3a8877-7462-478a-9b6a-0404ead34e1e%2Fm0m0gui_processed.png&w=3840&q=75)
Transcribed Image Text:### Required Information
**Consider the following statements.**
A signal \( x_1(t) \) has a Continuous-Time Fourier Transform (CTFT) \( X_1(f) \).
If \( x_2(t) = x_1(t + 4) \), \( |X_1(f)| \) and \( |X_2(f)| \) are different.
**True or False**
- [True] [False]
---
#### Explanation of Content
This section presents a theoretical statement about signal processing, specifically related to the properties of the Continuous-Time Fourier Transform (CTFT).
**Statement Analysis:**
- **Signals**:
- \( x_1(t) \): Original signal with its CTFT represented by \( X_1(f) \).
- \( x_2(t) = x_1(t + 4) \): Time-shifted version of the original signal.
- **Key Concept**:
- Time-shifting a signal in the time domain corresponds to a phase shift in the frequency domain but does not alter the magnitude of its Fourier Transform.
- **Conclusion**:
- The magnitude spectra, \( |X_1(f)| \) and \( |X_2(f)| \), of the original and time-shifted signals are **not different** despite the phase change.
#### Interactive Component:
Users are asked to determine the truth value of the statement by selecting either "True" or "False."
- **Correct Answer**: False, based on the principle that time shifts result in phase changes, not magnitude changes, in the Fourier Transform.
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