232 for owin I Check discreze time signar description = linearity, T C x cm) } ก X (ก) for in or ion and h the memory, Usafty con
232 for owin I Check discreze time signar description = linearity, T C x cm) } ก X (ก) for in or ion and h the memory, Usafty con
Introductory Circuit Analysis (13th Edition)
13th Edition
ISBN:9780133923605
Author:Robert L. Boylestad
Publisher:Robert L. Boylestad
Chapter1: Introduction
Section: Chapter Questions
Problem 1P: Visit your local library (at school or home) and describe the extent to which it provides literature...
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![### Analysis of a Discrete Signal
**Problem Statement:**
A discrete signal is described by the equation:
\[ T(x(n)) = n \times x(n) \]
You are required to check the following properties of the signal:
- **Linearity:** Determine if the system is linear by checking if it satisfies both additivity and homogeneity.
- **Memory:** Evaluate if the system is memoryless or if it depends on past or future input values.
- **Time Invariance:** Assess if the system's behavior is consistent over time and does not change when shifted in time.
- **Causality:** Check if the system is causal, meaning the output at any time depends only on present and past inputs and not on future inputs.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5b55a0fb-5dff-4587-97c0-c3ec381e9c7e%2Fafb033c6-edec-47dd-8185-a7c18a9e4aaf%2Fwk0o6ea_processed.png&w=3840&q=75)
Transcribed Image Text:### Analysis of a Discrete Signal
**Problem Statement:**
A discrete signal is described by the equation:
\[ T(x(n)) = n \times x(n) \]
You are required to check the following properties of the signal:
- **Linearity:** Determine if the system is linear by checking if it satisfies both additivity and homogeneity.
- **Memory:** Evaluate if the system is memoryless or if it depends on past or future input values.
- **Time Invariance:** Assess if the system's behavior is consistent over time and does not change when shifted in time.
- **Causality:** Check if the system is causal, meaning the output at any time depends only on present and past inputs and not on future inputs.
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