Input signal -->abs block-->ideal low pass filter block-->output signal - Ideal low pass filter in Simulink
15 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Gennaro Arguzzi
am 5 Jul. 2017
Bearbeitet: Julian Rosker
am 6 Jul. 2017
Hello everyone. I have the following time-continuous system: input signal -->abs block-->ideal low pass filter block-->output signal. In simulink I make the abs block with the Fcn block. My problem is to get ideal low pass filter with a 3000Hz band and 1 amplitude (linear scale). How could I get it? Maybe I should use Lowpass filter block? In this case what are the right parameters?
Thank you for your time.
0 Kommentare
Akzeptierte Antwort
Julian Rosker
am 5 Jul. 2017
Bearbeitet: Julian Rosker
am 6 Jul. 2017
Simulink does not support an ideal filter block. As a substitute, a non-ideal filter with a very small transition band can be created. A filter structure of "Direct-form FIR" with a passband just below 3000Hz and a stopband of just over 3000Hz should achieve this. Below shows one example of this filter.
Frequency response for the above filter:
Alternatively, you can design your own filter using the Analog Filter Design block. This won't be an ideal filter either, but may be more desirable for your implementation. To examine the frequency response of, for instance, a custom Butterworth filter, see https://www.mathworks.com/help/signal/ref/butter.html. Other options include cheby1, cheby2, ellip, and besself.
Further information on the pre-R2015b Lowpass Filter Simulink block can be found here: https://www.mathworks.com/help/dsp/ref/lowpassfilterobsolete.html .
2 Kommentare
Julian Rosker
am 6 Jul. 2017
Bearbeitet: Julian Rosker
am 6 Jul. 2017
Depending on your data, you may be able to add a zero-order hold after the signal to discretize the input. Information on that is here: https://www.mathworks.com/help/control/ug/continuous-discrete-conversion-methods.html
If your data is not well suited for that, try using the Analog Filter Design block. Most likely you would want a Bessel or Chebyshev filter.
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Filter Design finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!