addFilters

Add new filters to Filter Analyzer app

Since R2024a

Syntax

addFilters(fa,filt1,...,filtn)

addFilters(___,Name=Value)

dispnum = addFilters(___)

Description

addFilters(fa,filt1,...,filtn) imports the specified filters to the Filter Analyzer app fa and plots their responses in the active display. If there is no active display, Filter Analyzer adds a new display and plots the filters on it.

addFilters(___,Name=Value) specifies options using name-value arguments in addition to the input arguments from the previous syntax..

example

dispnum = addFilters(___) returns the identification number corresponding to a newly added display. If there is already a display, addFilters returns an empty array.

Examples

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Add Filters

Open Live Script

Design a lowpass filter and show it in the Filter Analyzer app.

d1 = designfilt("lowpassfir", ...
    PassbandFrequency=0.45,StopbandFrequency=0.55);
fa = filterAnalyzer(d1,FilterNames="LP1");

Add another lowpass filter to the display.

d2 = designfilt("lowpassfir", ...
    PassbandFrequency=0.25,StopbandFrequency=0.35);
addFilters(fa,d2,FilterNames="LP2")

Input Arguments

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`fa` — Filter Analyzer app handle
`filterAnalyzer` object

Filter Analyzer app handle, specified as a filterAnalyzer object.

`filt` — Input filters
coefficient matrices | cell array | `digitalFilter` object | filter System object™

Input filter, specified as coefficient matrices, a cell array, a digitalFilter object, or a filter System object.

For more information, see Import Filter on the Filter Analyzer page..

Example: b = [1 3 3 1]/6 and a = [3 0 1 0]/3 together specify a third-order lowpass Butterworth filter with a normalized 3-dB frequency of 0.5π rad/sample.

Example: sos2ctf([2 4 2 6 0 2; 3 3 0 6 0 0]) specifies a third-order lowpass Butterworth filter with a normalized 3-dB frequency of 0.5π rad/sample.

Example: d = designfilt("lowpassiir",FilterOrder=3,HalfPowerFrequency=0.5) specifies a third-order lowpass Butterworth filter with a normalized 3-dB frequency of 0.5π rad/sample.

Example: hd = design(fdesign.lowpass,"butter",SystemObject=true) specifies a lowpass Butterworth filter System object.

Filter Coefficients

You can use Filter Analyzer to analyze filters specified as numerator and denominator coefficients. If you specify the coefficients as the L-row matrices

$B = [\begin{matrix} b_{11} & b_{12} & \dots & b_{1, m + 1} \\ b_{21} & b_{22} & \dots & b_{2, m + 1} \\ ⋮ & ⋮ & ⋱ & ⋮ \\ b_{L 1} & b_{L 2} & \dots & b_{L, m + 1} \end{matrix}], A = [\begin{matrix} a_{11} & a_{12} & \dots & a_{1, n + 1} \\ a_{21} & a_{22} & \dots & a_{2, n + 1} \\ ⋮ & ⋮ & ⋱ & ⋮ \\ a_{L 1} & a_{L 2} & \dots & a_{L, n + 1} \end{matrix}],$

Filter Analyzer assumes you have specified the filter as a sequence of L cascaded transfer functions (CTF), such that the full transfer function of the filter is

$H (z) = \frac{b_{11} + b_{12} z^{- 1} + \dots + b_{1, m + 1} z^{- m}}{a_{11} + a_{12} z^{- 1} + \dots + a_{1, n + 1} z^{- n}} \times \frac{b_{21} + b_{22} z^{- 1} + \dots + b_{2, m + 1} z^{- m}}{a_{21} + a_{22} z^{- 1} + \dots + a_{2, n + 1} z^{- n}} \times \dots \times \frac{b_{L 1} + b_{L 2} z^{- 1} + \dots + b_{L, m + 1} z^{- m}}{a_{L 1} + a_{L 2} z^{- 1} + \dots + a_{L, n + 1} z^{- n}},$

where m ≥ 0 is the numerator order of the filter and n ≥ 0 is the denominator order.

If L = 1, then B and A are row vectors that specify the transfer function of an IIR filter.
If you specify both B and A as column vectors, Filter Analyzer assumes they represent the transfer function of an IIR filter.
If B is a scalar, Filter Analyzer assumes you specified the filter as a cascade of all-pole IIR filters with each section having a scaling gain equal to B.
If A is a scalar, Filter Analyzer assumes you specified the filter as a cascade of FIR filters with each section having a scaling gain equal to 1/A.

Note

To convert second-order section matrices to cascaded transfer functions, use the sos2ctf function.
To convert a zero-pole-gain filter representation to cascaded transfer functions, use the zp2ctf function.

Coefficients and Gain

If you have a scaling gain separate from the coefficient values, you can enter it in Filter Analyzer using the Import Filters dialog box. At the command line, you can specify the coefficients and gain as a cell array of the form {B,A,g}, where B and A are as defined in the Filter Coefficients section.

The gain can be a scalar overall gain or a vector of section gains.

If the gain is a scalar, Filter Analyzer applies the value uniformly to all the cascade filter sections.
If the gain is a vector, it must have one more element than the number of filter sections in the cascade. Filter Analyzer applies a scale value to each of the filter sections and applies the last value uniformly to all the filter sections.

If you specify the coefficient matrices and gain vector as

Filter Analyzer uses the transfer function

$H (z) = g_{S} (g_{1} \frac{b_{11} + b_{12} z^{- 1} + \dots + b_{1, m + 1} z^{- m}}{a_{11} + a_{12} z^{- 1} + \dots + a_{1, n + 1} z^{- n}} \times g_{2} \frac{b_{21} + b_{22} z^{- 1} + \dots + b_{2, m + 1} z^{- m}}{a_{21} + a_{22} z^{- 1} + \dots + a_{2, n + 1} z^{- n}} \times \dots \times g_{L} \frac{b_{L 1} + b_{L 2} z^{- 1} + \dots + b_{L, m + 1} z^{- m}}{a_{L 1} + a_{L 2} z^{- 1} + \dots + a_{L, n + 1} z^{- n}}) .$

`digitalFilter` Objects

You can use Filter Analyzer to analyze digitalFilter objects. Use designfilt to generate or edit digital filters based on frequency-response specifications.

Filter System Objects

If you have DSP System Toolbox™, you can use Filter Analyzer to analyze these filter System objects.

System object
`dsp.AllpassFilter`
`dsp.AllpoleFilter`
`dsp.CICCompensationDecimator`
`dsp.CICCompensationInterpolator`
`dsp.CICDecimator`
`dsp.CICInterpolator`
`dsp.ComplexBandpassDecimator` (since R2024b)
`dsp.CoupledAllpassFilter`
`dsp.DCBlocker` (since R2024b)
`dsp.Delay`
`dsp.Differentiator`
`dsp.DigitalDownConverter`
`dsp.DigitalUpConverter`
`dsp.FIRDecimator`
`dsp.FIRFilter`
`dsp.FIRHalfbandDecimator`
`dsp.FIRHalfbandInterpolator`
`dsp.FIRInterpolator`
`dsp.FIRRateConverter`
`dsp.FarrowRateConverter`
`dsp.FilterCascade`
`dsp.FourthOrderSectionFilter` — Filter Analyzer does not support fixed-point arithmetic for this object
`dsp.HighpassFilter`
`dsp.IIRFilter`
`dsp.IIRHalfbandDecimator`
`dsp.IIRHalfbandInterpolator`
`dsp.LowpassFilter`
`dsp.NotchPeakFilter` — Filter Analyzer does not support fixed-point arithmetic for this System object
`dsp.ParallelFilter`
`dsp.SOSFilter`
`dsp.VariableBandwidthFIRFilter`
`dsp.VariableBandwidthIIRFilter`

If you also have DSP HDL Toolbox™, you can use Filter Analyzer to analyze these filter System objects.

System object
`dsphdl.FIRFilter` (DSP HDL Toolbox) (since R2024b)
`dsphdl.BiquadFilter` (DSP HDL Toolbox) (since R2024b)

Name-Value Arguments

Specify optional pairs of arguments as Name1=Value1,...,NameN=ValueN, where Name is the argument name and Value is the corresponding value. Name-value arguments must appear after other arguments, but the order of the pairs does not matter.

Example: addFilters(fa,filt1,filt2,FilterNames=["LP" "HP"],SampleRates=[150 3e3]) adds filters named "LP" and "HP", with respective sample rates of 150 Hz and 3 KHz, to the specified Filter Analyzer instance fa.

`Arithmetic` — Arithmetic type of filter System objects
`"double"` (default) | `"single"` | `"fixed"`

Arithmetic type of filter System objects, specified as one of "double", "single", or "fixed". If you do not specify this argument, and the filter System objects are in an unlocked state, Filter Analyzer assumes the filters are double precision.

Data Types: char | string

`DisplayNums` — Displays on which to plot filters
vector

Displays on which to plot filters, specified as a vector of display numbers. If you do not specify this argument, Filter Analyzer uses the active display. Use display identification numbers to target displays when using other Filter Analyzer functions. Identification numbers appear above the plotting area of the app, on the tabs that correspond to the different displays.

Example: [1 4]

`FilterNames` — Filter names
vector of strings | cell of character vectors

Filter names, specified as a vector of strings or cell of character vectors. Filter names are the names that identify the different filters in the Filters table of the Filter Analyzer app. If you do not specify this argument:

If filters have been specified as numerator and denominator coefficients, Filter Analyzer uses num_den as filter names, where num is the variable that specifies the numerator coefficients of a filter and den is the variable that specifies the corresponding denominator coefficients.
If filters have been specified as cell arrays or objects, Filter Analyzer uses the variables that specify each cell array or object as filter names.
Otherwise, Filter Analyzer uses names consisting of Filter_nn, where n is a number representing the order in which that filter was added to the Filters table: Filter_1, Filter_2, and so on.

Filter names in Filter Analyzer must be unique. If a name already exists, the app appends a suffix number to the name. The Filters table shows the names that already exist in the app session.

Example: ["LPbutter" "LPelliptic"]

Data Types: cell | string

`SampleRates` — Filter sample rates
`1` (default) | scalar | vector

Filter sample rates, specified as a scalar or vector of values specified in Hz.

If SampleRates is a scalar, the specified value applies to all filters.
If SampleRates is a vector, it must have a number of elements equal to the number of filters.

This argument does not apply if one or more filters are objects with a sample rate.

Example: [150 3e3]

Output Arguments

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`dispnum` — Display identification number
integer | vector of integers

Display identification number, returned as an integer or as a vector of integers. If addFilters adds more than one display, dispnum is a vector. If Filter Analyzer uses the current display, dispnum is an empty array.

Version History

Introduced in R2024a

addFilters

Syntax

Description