visualize

Visualize and validate filter response

Description

example

visualize(weightFilt) plots the magnitude response of the frequency-weighted filter, weightFilt. The plot is updated automatically when properties of the object change.

example

visualize(weightFilt,N) uses an N-point FFT to calculate the magnitude response.

example

visualize(___,mType) creates a mask based on the class of filter specified by mType, using either of the previous syntaxes.

Examples

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Create an object of the weightingFilter System object™ and then plot the magnitude response of the filter.

weightFilt = weightingFilter;
visualize(weightFilt)

Create an object of the weightingFilter System object™. Plot a 1024-point frequency representation.

weightFilt = weightingFilter;
visualize(weightFilt,1024)

Create an object of the weightingFilter System object™. Visualize the class 2 compliance of the filter design.

weightFilt = weightingFilter;
visualize(weightFilt,'class 2')

Input Arguments

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Object of the weightingFilter System object™.

Number of DFT bins in frequency-domain representation, specified as a positive scalar. The default is 2048.

Data Types: single | double

Type of mask, specified as 'class 1' or 'class 2'.

The mask attenuation limits are defined in the IEC 61672-1:2002 standard. The mask is defined for A-weighting and C-weighting filters only.

  • If the mask is green, the design is compliant with the IEC 61672-1:2002 standard.

  • If the mask is red, the design breaks compliance.

Note

The pole-zero values defined in the ANSI S1.42-2001 standard are used for designing the A-weighted and C-weighted filters. The pole-zero values are based on analog filters, so the design can break compliance for lower sample rates.

Data Types: char

Introduced in R2016b