Math Problem Statement
a digital signal processing question asks: given H(z) = 2+3z^-1/(1+(1/2)z^-1)(1+(1/4)z^-1), determine the impulse response h[n]
Solution
To determine the impulse response from the given transfer function , we need to find the inverse Z-transform of . Here's how we approach it:
Step 1: Rewrite
The given is:
Rewriting the denominator in a simpler form:
Step 2: Expand into Partial Fractions
We express as:
where and are constants to be determined.
Combine Terms
Equating the numerator:
Expand and collect terms:
Separate constant and terms:
Solve for and
From , we have .
Substitute into the second equation:
Simplify:
Using :
Step 3: Write with Partial Fractions
Now we rewrite as:
Step 4: Find the Inverse Z-Transform
The general form of the inverse Z-transform for is:
[ \mathcal{Z}^{-1}\left[\frac{1}{1 + az^{-1}}\right] = (-a)^n u[n], ]
where is the unit step function.
Inverse Transform Each Term
For the first term:
[ \mathcal{Z}^{-1}\left[\frac{-8}{1 + 0.5z^{-1}}\right] = -8(-0.5)^n u[n]. ]
For the second term:
[ \mathcal{Z}^{-1}\left[\frac{10}{1 + 0.25z^{-1}}\right] = 10(-0.25)^n u[n]. ]
Step 5: Combine Results
The impulse response is:
[ h[n] = -8(-0.5)^n u[n] + 10(-0.25)^n u[n}. ]
Or:
Final Answer:
Do you have questions or want further details? Here are some related questions:
- How is partial fraction decomposition applied in DSP?
- What are the properties of the Z-transform that make this calculation possible?
- How do you interpret the stability of based on ?
- Can you derive the same using other methods?
- What happens if you use for a different input (e.g., a step input)?
Tip: For verifying impulse responses, you can use numerical tools or directly substitute into the Z-transform formula!
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Math Problem Analysis
Mathematical Concepts
Digital Signal Processing
Z-Transform
Partial Fraction Decomposition
Impulse Response
Formulas
H(z) = (Numerator)/(Denominator)
Partial Fraction Decomposition: H(z) = A / (1 + a1*z^-1) + B / (1 + a2*z^-1)
Inverse Z-Transform: Z^-1[1 / (1 + az^-1)] = (-a)^n * u[n]
Theorems
Inverse Z-Transform
Linearity Property of Z-Transform
Suitable Grade Level
Undergraduate (Engineering, DSP Course)
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