Digital filter response question

In summary: The denominator is the vector sum of 1∠2ωT and 0.81∠0°.In summary, the filter response is zero at frequencies of 0 and fNyquist, and the maximum response can be found using a bit of calculus or by finding the value of ω that maximizes the magnitude of the numerator in the frequency response equation. This is because at the maximum response frequency, the magnitude of the numerator will be at its maximum while the magnitude of the denominator will be at its minimum.
  • #1
jmher0403
22
0

Homework Statement



A digital filter is defined by yn = xn - n-2 - 0.81*yn-2.

At what frequency, in terms of fNyquist, is the filter response zero and maximum?


Homework Equations



H(z) = Y(z)/X(z)


The Attempt at a Solution



I figured out that H(z) = [z2-1] /[z2 +0.81]

and F(w) = [e2jwt -1 ] / [e2jwt + 0.81]
= [cos(2wt) + isin(2wt) - 1] / [cos(2wt) + isin(2wt) + 0.81]


Please give me some advice on how to go on about finding the frequencies please...

Hint was given that wt = ∏ f/fNyquist
please also explain why this is so...


Thanks a lot in advance :D
 
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  • #2
I figured out the frequencies that give zero are 0 and fN

any hints on how to find the frequency that gives maximum response?/?
 
Last edited:
  • #3
You could use a bit of calculus to find minima/maxima of |F(ω)|, you've probably done this plenty of times before with real-valued functions.

F(ω) has a simple property, though, that, by inspection, enables you to find the value of ω that maximizes |F(ω)|. When the magnitude of the numerator attains its maximum value, the magnitude of the denominator attains its minimum value. That means something for the magnitude of the fraction.

I don't know how familiar you are with complex numbers and their interpretation as vectors in the complex plane, but if this means something to you, you might interpret the numerator as the vector sum of 1∠2ωT and 1∠180°, where T is the sampling time of your system (one might confuse an expression with t as a time-domain expression).
 

Related to Digital filter response question

1. What is a digital filter response?

A digital filter response refers to the way a digital filter alters or modifies a digital signal. It is the output of the filter in response to an input signal.

2. How does a digital filter work?

A digital filter works by taking a digital signal as input and applying a mathematical operation to it. This operation is typically based on a set of coefficients or parameters that determine the filter's behavior.

3. What are the different types of digital filter responses?

There are several types of digital filter responses, including low-pass, high-pass, band-pass, and band-stop filters. Each type has a different frequency response and is used for different purposes.

4. What factors affect the digital filter response?

The digital filter response can be affected by various factors, such as the filter type, filter order, filter coefficients, and the characteristics of the input signal.

5. How is the digital filter response evaluated?

The digital filter response is evaluated by analyzing the filter's output signal and comparing it to the input signal. This can be done using various metrics, such as frequency response, phase response, and impulse response.

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