Chebyshev2FilterModel
creates a lowpass Chebyshev type 2 filter of order n.
Chebyshev2FilterModel[{n,ωc}]
uses the cutoff frequency ωc.
Chebyshev2FilterModel[{"type",spec}]
uses the full filter specification {"type",spec}.
Chebyshev2FilterModel[{"type",spec},var]
expresses the model in terms of the variable var.
Details
- Chebyshev2FilterModel returns the filter as a TransferFunctionModel.
- Chebyshev2FilterModel[{n,ω}] returns a lowpass filter with attenuation of (approximately 3 dB) at frequency ω.
- Chebyshev2FilterModel[n] uses the cutoff frequency of 1.
- Filter specification {"type",spec} can be any of the following:
-
{"Lowpass",{ωp,ωs},{ap,as}} lowpass filter using passband and stopband frequencies and attenuations {"Highpass",{ωs,ωp},{as,ap}} highpass filter {"Bandpass",{ωs1,ωp1,ωp2,ωs2},{as,ap}} bandpass filter {"Bandstop",{ωp1,ωs1,ωs2,ωp2},{ap,as}} bandstop filter - Frequency values should be given in an ascending order.
- Values ap and as are respectively absolute values of passband and stopband attenuations.
- Given a gain fraction , the attenuation is .
Examples
open allclose allScope (7)
A symbolic representation of an order 2 lowpass filter:
Exact computation of the model:
Computation of the model with precision 24:
Create a filter model using the variable s:
Create a lowpass Chebyshev type 2 filter:
Create a highpass Chebyshev type 2 filter:
Applications (6)
Create a lowpass Chebyshev type 2 filter:
Filter out high-frequency noise from a sinusoidal signal:
Chebyshev type 2 filter phase shifts the response by Arg[tf[ω ]], where ω is the frequency of the input sinusoid:
Create a highpass Chebyshev type 2 filter from the lowpass prototype:
Filter out low-frequency sinusoid from the input:
Design a digital FIR lowpass filter using the Chebyshev 2 approximation that satisfies the following passband and stopband frequencies and attenuations:
Obtain the equivalent analog frequencies, assuming a sampling period of 1:
Compute the analog Chebyshev 1 transfer function:
Convert to discrete-time model:
Create an FIR approximation of a discrete-time Chebyshev type 2 IIR filter.
Implement a lowpass digital Chebyshev type 2 filter:
Obtain the impulse response of the IIR filter and evaluate for the desired number of samples:
Smooth financial data using an FIR approximation of a Chebyshev filter:
Properties & Relations (5)
Compare Chebyshev type 1 and type 2 lowpass filters:
Extract the order of the Chebyshev type 2 polynomial:
Find the poles and zeros of a Chebyshev type 2 filter:
Plot poles and zeros of the Chebyshev filter:
Implement a lowpass digital Chebyshev type 2 filter:
Plot poles and zeros of the digital Chebyshev type 2 filter:
Text
Wolfram Research (2012), Chebyshev2FilterModel, Wolfram Language function, https://reference.wolfram.com/language/ref/Chebyshev2FilterModel.html.
CMS
Wolfram Language. 2012. "Chebyshev2FilterModel." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/Chebyshev2FilterModel.html.
APA
Wolfram Language. (2012). Chebyshev2FilterModel. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/Chebyshev2FilterModel.html