Variable Slope Filter Design
Libraries:
Audio Toolbox /
Filters
Description
The Variable Slope Filter Design block designs a lowpass or highpass filter with the specified slope and cutoff frequency. The block outputs filter coefficients of cascaded second-order section (SOS) filters, which you can use with the Second-Order Section Filter block to filter audio signals. You can tune the filter parameters during simulation.
Examples
Design Variable Slope Filter in Simulink
Use the Variable Slope Filter Design block to design a lowpass filter and pass the coefficients to a Second-Order Section Filter block to filter a signal of random noise. Tune the filter parameters using the dashboard controls and see how the spectrum of the filtered signal changes.
Ports
Input
S — Filter slope
scalar in range [0,48]
Use this port to specify the value of the Filter slope parameter.
Dependencies
To enable this port, select the Specify slope from input port parameter.
Data Types: single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
Fc — Normalized cutoff frequency
scalar in range [0,1]
Use this port to specify the value of the Normalized cutoff frequency parameter.
Dependencies
To enable this port, select the Specify normalized cutoff frequency from input port parameter.
Data Types: single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
T — Filter type
0
(lowpass) | 1
(highpass)
Use this port to specify the value of the Filter
type parameter; 0
corresponds to a lowpass filter and
1
corresponds to a highpass filter.
Dependencies
To enable this port, select the Specify filter type from input port parameter.
Data Types: single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
| Boolean
| enumerated
Output
Num — Numerator filter coefficients
N-by-3 matrix
Numerator filter coefficients, returned as an N-by-3 matrix. N is the number of filter sections and depends on the Maximum filter slope parameter. If Filter slope is less than Maximum filter slope, then the block sets the unused sections to pass-through sections.
Dependencies
The data type of the output depends on the Output data type parameter.
The output dimensions depend on the Maximum filter slope parameter.
Data Types: single
| double
Den — Denominator filter coefficients
N-by-3 matrix
Denominator filter coefficients, returned as an N-by-3 matrix. N is the number of filter sections and depends on the Maximum filter slope parameter. A steeper slope requires more filter sections. If Filter slope is less than Maximum filter slope, then the block sets the unused sections to pass-through sections.
Dependencies
The data type of the output depends on the Output data type parameter.
The output dimensions depend on the Maximum filter slope parameter.
Data Types: single
| double
Parameters
To edit block parameters interactively, use the Property Inspector. From the Simulink® Toolstrip, on the Simulation tab, in the Prepare gallery, select Property Inspector.
Smooth tuned filter parameters — Smooth filter parameters when tuning
off
(default) | on
Select this parameter to gradually change a filter parameter to the new value when tuning it. If you clear this parameter, the tuned parameter immediately switches to the new value. Specify the level of smoothing with the Smoothing factor parameter.
Smoothing factor — Smoothing factor for tuned parameters
0.6
(default) | scalar in range [0,1)
Smoothing factor for tuned parameters, specified as a scalar in the range [0,1). As the smoothing factor approaches 1, a tuned parameter changes more gradually to the new value. A smoothing factor of 0 is equivalent to no smoothing.
For more information about smoothing, see Smoothing.
Tunable: Yes
Dependencies
To enable this parameter, select the Smooth tuned filter parameters parameter.
Maximum filter slope — Maximum filter slope (dB/octave)
12
(default) | scalar in range [0,48]
Maximum filter slope in dB/octave, specified as a scalar in the range [0,48]. The Filter slope parameter cannot exceed this value.
Specify slope from input port — Use additional input port to specify slope
off
(default) | on
When you select this parameter, an additional input port, S, is added to the block.
Filter slope — Filter slope (dB/octave)
12
(default) | scalar in range [0,48]
Filter slope in dB/octave, specified as a scalar in the range [0,48]. The block rounds the slope value to the nearest multiple of 6.
Tunable: Yes
Dependencies
To enable this parameter, clear the Specify slope from input port parameter.
The value of this parameter cannot exceed the value of the Maximum filter slope parameter.
Specify normalized cutoff frequency from input port — Use additional input port to specify normalized cutoff frequency
off
(default) | on
When you select this parameter, an additional input port, Fc, is added to the block.
Normalized cutoff frequency — Normalized cutoff frequency
0.1
(default) | scalar in range [0,1]
Normalized cutoff frequency of the filter, specified as a scalar in the range [0,1] where 1 corresponds to the Nyquist frequency.
Tunable: Yes
Dependencies
To enable this parameter, clear the Specify normalized cutoff frequency from input port parameter.
Specify filter type from input port — Use additional input port to specify filter type
off
(default) | on
When you select this parameter, an additional input port, T, is added to the block.
Filter type — Type of filter
lowpass
(default) | highpass
Type of filter, specified as lowpass
for a lowpass filter
or highpass
for a highpass filter.
Output data type — Data type of output coefficients
double
(default) | single
Data type of output coefficients, specified as double
or
single
.
Sample time — Sample time of block
-1
(default) | positive scalar
Sample time of the block, in seconds, specified as -1
or a
positive scalar. Setting this parameter to -1
means Simulink determines the sample time automatically for you. You can set this
parameter to enable the design block to run at a slower rate than the filtering
block.
Simulate using — Specify type of simulation to run
Interpreted execution
(default) | Code generation
Interpreted execution
–– Simulate model using the MATLAB® interpreter. This option shortens startup time but has a slower simulation speed thanCode generation
. In this mode, you can debug the source code of the block.Code generation
–– Simulate model using generated C code. The first time you run a simulation, Simulink generates C code for the block. The C code is reused for subsequent simulations, as long as the model does not change. This option requires additional startup time, but the speed of the subsequent simulations is comparable toInterpreted execution
.
Block Characteristics
Data Types |
|
Direct Feedthrough |
|
Multidimensional Signals |
|
Variable-Size Signals |
|
Zero-Crossing Detection |
|
Algorithms
Smoothing
When you select Smooth tuned filter parameters, the Variable Slope Filter Design block uses the following formula to gradually adjust the parameter to the target value when tuning. The block redesigns the filter at each time step with the intermediate parameter values, until the target value is reached.
where:
n is the time step in the simulation.
g is the instantaneous smoothed parameter.
t is the target value for the tuned parameter.
α is the smoothing factor, specified by the Smoothing factor parameter.
References
[1] Orfanidis, Sophocles J. "High-Order Digital Parametric Equalizer Design." Journal of the Audio Engineering Society. Vol. 53, November 2005, pp. 1026–1046.
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.
Version History
Introduced in R2024a
See Also
Blocks
Functions
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