Math Problem Statement
Solution
The image contains a system of equations and problems related to signal processing in the time domain. Let’s break this down step by step:
-
Given System:
-
The system takes input and gives output with different responses for and .
For , .
For , .
-
-
Tasks:
- Compute the output corresponding to .
- Compute the output corresponding to .
Solution:
(a) For :
- Using Euler's formula: .
- The system is linear, so the output is the sum of the outputs for and :
- Substitute the responses:
- Thus:
- Final result for (a): .
(b) For :
- Using the time-shifting property: .
- Expanding:
### Solution Continued:
Expanding for :
(b) Deriving :
Using the time-shifted input:
[ x_2(t) = \cos\left(2\left(t - \frac{1}{2}\right)\right) = \frac{1}{2}\left(e^{j2t}e^{-j} + e^{-j2t}e^{j}\right).$$
-
Apply the linearity of the system :
- The input has the response , so:
- Similarly, the input has the response , so:
-
Combine the results:
- The output is:
-
Simplify using Euler's formula:
Final Results:
- (a) .
- (b) .
Do you have any further questions or would like detailed explanations on specific steps? Here are 5 related questions to consider:
- How does the system's linearity affect the computation of outputs for superimposed signals?
- What is the significance of the time-shifting property in solving (b)?
- Can you explain the difference between and in this context?
- How would the solution change if the system's response were nonlinear?
- What role does Euler's formula play in solving these problems efficiently?
Tip: When working with signals in the frequency domain, always verify the linearity and time-invariance properties to simplify the calculations.
Ask a new question for Free
By Image
Drop file here or Click Here to upload
Math Problem Analysis
Mathematical Concepts
Signal Processing
Linear Systems
Fourier Analysis
Formulas
Euler's Formula: cos(ωt) = (1/2)(e^(jωt) + e^(-jωt))
System Linearity: S(ax1(t) + bx2(t)) = aS(x1(t)) + bS(x2(t))
Time-shifting property: x(t - t0) <-> X(f)e^(-j2πft0)
Theorems
Linearity of Linear Time-Invariant Systems
Suitable Grade Level
Undergraduate - Electrical Engineering or Mathematics
Related Recommendation
LTI System Response for Input Signal x(n) with Cosine Components
Laplace Transform of (1/2) t e^(2/5 t) + 7 sin(8t) - cos^2(t)
Convolution of Exponential Signals x1(t) = e^(-3t)u(t) and x2(t) = e^(-2t)u(t-2)
Solve Integral Involving Trigonometric and Linear Functions
Compute the Complex Fourier Series for f(x)=x^2+x+2 Over Period 6π