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Filter Realization Wizard

(To be removed) Construct filter realizations using digital filter blocks or Sum, Gain, and Delay blocks

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The Filter Realization Wizard block will be removed in a future release. Currently, there is no replacement.

  • Filter Realization Wizard block

Libraries:
DSP System Toolbox / Filtering / Filter Designs

Description

Note

Use this block to implement fixed-point or floating-point digital filters using Sum, Gain, and Delay blocks or digital filter blocks from the DSP System Toolbox™ library. You can either design a filter by using the block parameters, or import the coefficients of a filter you have designed elsewhere.

These blocks also implement digital filters, but serve slightly different purposes:

The Filter Realization Wizard is a tool for automatically implementing a digital filter. You must specify a filter, its structure, and the data types for the inputs, outputs, and computations. The filter can support double-precision, single-precision, or fixed-point data types.

The Filter Realization Wizard can implement a digital filter in one of two ways. It can use digital filter blocks from the DSP System Toolbox library, or it can create a subsystem block that implements the specified filter using Sum (Simulink), Gain (Simulink), and Delay blocks. If the Filter Realization Wizard creates a block, double-click the block to open the dialog box. If it creates a subsystem, double-click the subsystem block to see the filter implementation as shown in this figure.

For more information about filter implementation, see Specify the Filter Implementation.

The parameters of the Filter Realization Wizard are a part of a larger app, the Filter Designer (filterDesigner). You can use filter designer to design and analyze your filter and then use the Filter Realization Wizard parameters to implement the filter in your models.

The Filter Realization Wizard supports single-precision, double-precision, and fixed-point (signed and unsigned). The block supports single-precision and fixed-point data types only when you install Fixed-Point Designer™.

Parameters

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Note

These parameters for the Filter Realization Wizard are in the Realize Model pane of the filter designer app. To open different panels of filter designer, click the different buttons at the lower-left corner. For more information about relevant panels, see Specify the Filter and Data Types.

Enter the name of the new filter block.

Specify the model in which the Filter Realization Wizard creates the new filter block. The wizard can create the block in a new model or in the current (most recently selected) model.

Specify the name of the target subsystem in which the Filter Realization Wizard creates the new filter block.

Dependencies

To enable this parameter, set Destination to User-defined.

When you select this check box, the block overwrites any filter block in the current model with the name you specify in the Block Name parameter.

Dependencies

To enable this parameter, set the Destination parameter to Current.

Select this check box to implement your filter using Sum, Gain, and Delay blocks. Clear this check box to implement your filter using digital filter blocks from the DSP System Toolbox library.

Dependencies

This parameter is available only when your filter can be modeled using a digital filter block available in the DSP System Toolbox library.

Select this check box to remove zero-gain paths from the filter structure. For an example, see Optimize the Filter Structure.

Dependencies

To enable this parameter, select the Build model using basic elements check box.

Select this check box to substitute gains equal to 1 with a wire (short circuit). For an example, see Optimize the Filter Structure.

Dependencies

To enable this parameter, select the Build model using basic elements check box.

Select this check box to substitute gains equal to −1 with a wire (short circuit), and change the corresponding sums to subtractions. For an example, see Optimize the Filter Structure.

Dependencies

To enable this parameter, select the Build model using basic elements check box.

Select this check box to substitute any delay chains made up of n unit delays with a single delay by n. For an example, see Optimize the Filter Structure.

Dependencies

To enable this parameter, select the Build model using basic elements check box.

Select this check box to remove all scale value multiplications by 1 from the filter structure.

Specify how the generated filter block or subsystem block processes the input. Depending on the type of filter you are designing, one or both of these options can be available:

  • Columns as channels (frame based) — When you select this option, the block treats each column of the input as a separate channel.

  • Elements as channels (sample based) — When you select this option, the block treats each element of the input as a separate channel.

For more information about sample- and frame-based processing, see Sample- and Frame-Based Concepts.

For multirate filters, specify how the block should process the input. You can set this parameter to one of these options:

  • Enforce single-rate processing — When you select this option, the block maintains the input sample rate.

  • Allow multirate processing — When you select this option, the block adjusts the rate at the output to accommodate an increased or reduced number of samples.

Click this button to create a filter block according to the settings you have specified. When you select the Build model using basic elements check box, the filter is implemented as a subsystem block consisting of Sum, Gain, and Delay blocks. To see the filter implementation, double-click the subsystem block in your model.

Note

For more information about relevant parameters in other panels of filter designer, see Specify the Filter and Data Types.

Block Characteristics

Data Types

double | fixed point | integer | single

Direct Feedthrough

no

Multidimensional Signals

no

Variable-Size Signals

no

Zero-Crossing Detection

no

More About

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References

[1] Oppenheim, A. V. and R. W. Schafer. Discrete-Time Signal Processing. Englewood Cliffs, NJ: Prentice Hall, 1989.

[2] Proakis, J. and D. Manolakis. Digital Signal Processing. 3rd ed. Englewood Cliffs, NJ: Prentice-Hall, 1996.

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.

Version History

Introduced before R2006a

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R2024b: Filter Realization Wizard will be removed

The Filter Realization Wizard block will be removed in a future release. Currently, there is no replacement.

See Also

Functions

Blocks

Topics