Magnitude Fourier transform lowpass, highpass, or bandpass

Click For Summary
SUMMARY

The discussion focuses on determining the type of filter represented by the Laplace transform \(H_1(s) = \frac{1}{(s + 1)(s + 3)}\) using geometric evaluation of its Fourier transform and pole-zero plot. It concludes that this transfer function behaves as a lowpass filter, characterized by a high value at \(H(0)\) and a decreasing response as \(s\) increases. The Bode plot is identified as the standard tool for analyzing such functions, providing insights into filter characteristics.

PREREQUISITES
  • Understanding of Laplace transforms and their properties
  • Knowledge of Fourier transforms and their geometric evaluation
  • Familiarity with Bode plots and filter characteristics
  • Basic concepts of pole-zero plots in control systems
NEXT STEPS
  • Learn how to create and interpret Bode plots for various transfer functions
  • Study the characteristics of lowpass, highpass, and bandpass filters in detail
  • Explore examples of transfer functions for bandpass filters, such as \(H(s) = \frac{s}{(s-1)(s-100)}\)
  • Investigate the implications of numerator degree on filter behavior, particularly in highpass filters
USEFUL FOR

Students and professionals in electrical engineering, control systems, and signal processing who are analyzing filter characteristics and seeking to understand the implications of transfer functions.

Dustinsfl
Messages
2,217
Reaction score
5
Using geometric evaluation of the magnitude of the Fourier transform from the corresponding pole-zero plot, determine, for each of the following Laplace transforms, whether the magnitude of the corresponding Fourier transform is approximately lowpass, highpass, or bandpass.
\[
H_1(s) = \frac{1}{(s + 1)(s + 3)},\qquad \text{Re} \ \{s\} > -1
\]
I have no idea what to do for this. Can someone explain how to do a problem like this?
 
Physics news on Phys.org
dwsmith said:
Using geometric evaluation of the magnitude of the Fourier transform from the corresponding pole-zero plot, determine, for each of the following Laplace transforms, whether the magnitude of the corresponding Fourier transform is approximately lowpass, highpass, or bandpass.
\[
H_1(s) = \frac{1}{(s + 1)(s + 3)},\qquad \text{Re} \ \{s\} > -1
\]
I have no idea what to do for this. Can someone explain how to do a problem like this?

In case of highpass or band pass is $\displaystyle H_{1} (0) = 0$ and that isn't verified in this case. The only possible alternative is then...

Kind regards

$\chi$ $\sigma$
 
dwsmith said:
Using geometric evaluation of the magnitude of the Fourier transform from the corresponding pole-zero plot, determine, for each of the following Laplace transforms, whether the magnitude of the corresponding Fourier transform is approximately lowpass, highpass, or bandpass.
\[
H_1(s) = \frac{1}{(s + 1)(s + 3)},\qquad \text{Re} \ \{s\} > -1
\]
I have no idea what to do for this. Can someone explain how to do a problem like this?

The standard way to analyze such a function is a Bode plot.
It will tell you what type of filter it is and also what its characteristics are.

More specifically, a low pass filter has high H(0) and goes down when s increases.
A high pass filter has low H(0) and increases with s.
A band filter first increases from s=0 and up and then decreases again.
 
I like Serena said:
The standard way to analyze such a function is a Bode plot.
It will tell you what type of filter it is and also what its characteristics are.

More specifically, a low pass filter has high H(0) and goes down when s increases.
A high pass filter has low H(0) and increases with s.
An band filter first increases from s=0 and up and then decreases again.

Can you provide an example transfer function for a bandpass?
 
dwsmith said:
So if the numerator was \(s^2\), we would have highpass correct?

Yes.
 

Similar threads

  • · Replies 3 ·
Replies
3
Views
4K
  • · Replies 5 ·
Replies
5
Views
5K
  • · Replies 2 ·
Replies
2
Views
4K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 31 ·
2
Replies
31
Views
12K
  • · Replies 8 ·
Replies
8
Views
3K