Math Problem Statement
answer this
Solution
Let's break down the problem in steps to calculate the output based on the provided information.
Problem Breakdown:
1. Input Signal :
The input signal is given as: This is a sum of two cosine signals with different frequencies.
- The first term has a frequency of (since , so ).
- The second term has a frequency of (so ).
2. Channel's Amplitude Response :
The channel is modeled as a linear time-invariant (LTI) system with an amplitude response given by:
This response will affect each frequency component of the input signal .
3. Effect of Channel on Each Frequency Component:
For each frequency component of , the channel will scale it based on its amplitude response .
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For the first term , the frequency is . So, the amplitude response will be: The new amplitude for this term will be: So the output for this term will be .
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For the second term , the frequency is . So, the amplitude response will be: The new amplitude for this term will be: So the output for this term will be .
4. Final Output :
The final output will be the sum of the two terms after being affected by the channel:
This is the output signal after passing through the LTI system.
Do you need more details on any step or further clarifications?
Related Questions:
- How do you find the frequency of a cosine signal from its equation?
- What is the role of an amplitude response in an LTI system?
- How do you apply a system's amplitude response to a given signal?
- Can you explain why different frequencies are affected differently by the channel?
- How would the output change if the channel response was different?
Tip: Always identify the frequencies of the input signal's components before applying the system's response to each.
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Math Problem Analysis
Mathematical Concepts
Signal Processing
Linear Time-Invariant Systems
Cosine Signals
Amplitude Response
Formulas
x(n) = 12 cos(πn/2) + (3/2) cos(2πn/3)
Amplitude Response: S(f) = 2f/(f+2)
Theorems
Linear Time-Invariant (LTI) System Response
Fourier Series
Suitable Grade Level
University Level (Electrical Engineering or Signal Processing)
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