BiquadraticFilterModel

BiquadraticFilterModel[{ω,q}]

creates a lowpass biquadratic filter using the characteristic frequency ω and the quality factor q.

BiquadraticFilterModel[{"type",spec}]

creates a filter of a given {"type",spec}.

BiquadraticFilterModel[{"type",spec},var]

expresses the model in terms of the variable var.

Details

  • Biquadratic filters are second-order filters defined by a ratio of two quadratic polynomials. They are among the most commonly used circuits in analog and digital signal processing.
  • BiquadraticFilterModel returns the filter as a TransferFunctionModel.
  • Filter specifications {"type",spec} can be any of the following:
  • {"Lowpass",{{ω,q}}}uses cutoff frequency ω and quality factor q
    {"Highpass",{{ω,q}}}uses cutoff frequency ω and quality factor q
    {"Allpass",{{ω,q}}}uses frequency ω and quality factor q
    {"Bandpass",{ω1,ω2}}uses corner frequencies ω1 and ω2
    {"Bandpass",{{ω,q}}}uses center frequency ω and quality factor q
    {"Bandstop",{ω1,ω2}}uses corner frequencies ω1 and ω2
    {"Bandstop",{{ω,q}}}uses center frequency ω and quality factor q
  • The following filter specifications can be given to create equalizers:
  • {"Peaking",{{ω,q}},g}peaking equalizer using gain value g
    {"LowShelf",{{ω,q}},g}lowpass shelving equalizer using gain value g
    {"HighShelf",{{ω,q}},g}highpass shelving equalizer using gain value g
  • Given the gain value , the attenuation is .

Examples

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Basic Examples  (3)

A lowpass biquadratic filter:

Bode plot of the filter:

A bandpass filter using the full specification:

Bode plot of the filter:

Create a lowpass filter and apply it to a dual-tone signal:

Scope  (8)

A symbolic lowpass filter with cutoff frequency ω and quality factor :

Use the full specification:

Specify cutoff frequency :

Bode plot of the filter:

A symbolic highpass filter with cutoff frequency and quality factor :

Use cutoff frequency :

A symbolic bandpass filter with center frequency and quality factor :

Use quality factor :

A symbolic bandstop filter with center frequency and quality factor :

Use quality factor :

A symbolic allpass filter with center frequency and quality factor :

Use quality :

A symbolic "Peaking" allpass filter with center frequency , quality factor , and gain value :

Use peak gain value of decibels:

A symbolic "LowShelf" filter with center frequency , quality factor , and gain value :

Use low-shelf gain value of decibels:

A symbolic "HighShelf" filter with center frequency , quality factor , and gain value :

Use low-shelf gain value of decibels:

Generalizations & Extensions  (1)

Improve stopband attenuation by connecting two or more filters in series:

Applications  (1)

Filter out the high-frequency tone in a pair of sinusoidal tones:

Use a biquadratic lowpass filter:

Create a higher-order filter by combining three filters to improve the filtering quality:

Properties & Relations  (7)

Phase responses of the four basic filter types:

Extract the order of a BiquadraticFilterModel:

Stopband attenuation increases by a factor of 40 decibels per decade:

Gain at cutoff frequency increases with increasing values of quality factor :

Width of bandpass filter decreases with increasing quality factor :

Gain values "boost" magnitude response of peaking equalizer:

Gain values "cut" magnitude response of peaking equalizer:

Gain values "boost" magnitude response of the low-shelf filter:

Gain values "cut" magnitude response of the low-shelf filter:

Wolfram Research (2016), BiquadraticFilterModel, Wolfram Language function, https://reference.wolfram.com/language/ref/BiquadraticFilterModel.html.

Text

Wolfram Research (2016), BiquadraticFilterModel, Wolfram Language function, https://reference.wolfram.com/language/ref/BiquadraticFilterModel.html.

CMS

Wolfram Language. 2016. "BiquadraticFilterModel." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/BiquadraticFilterModel.html.

APA

Wolfram Language. (2016). BiquadraticFilterModel. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/BiquadraticFilterModel.html

BibTeX

@misc{reference.wolfram_2024_biquadraticfiltermodel, author="Wolfram Research", title="{BiquadraticFilterModel}", year="2016", howpublished="\url{https://reference.wolfram.com/language/ref/BiquadraticFilterModel.html}", note=[Accessed: 15-October-2024 ]}

BibLaTeX

@online{reference.wolfram_2024_biquadraticfiltermodel, organization={Wolfram Research}, title={BiquadraticFilterModel}, year={2016}, url={https://reference.wolfram.com/language/ref/BiquadraticFilterModel.html}, note=[Accessed: 15-October-2024 ]}