In fixed-point implementations, different filter structures have different memory and multiplier requirements. These requirements can cause different finite word length effects. In this situation, converting the default filter structure of a filter design to a different structure might provide better finite word length performance.
In Part 1 of this tutorial, you select a filter structure for the reference floating-point filter. Later in the design process, you can change the implementation structure if the filter design does not meet the filtering requirements.
Complete the following steps to select a filter structure for the reference floating-point filter by using the DFD Convert Structure VI.
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Note Refer to labview\examples\Digital Filter Design\Getting Started\Tutorials\Designing a Floating-Point Filter\Designing a Floating-Point Filter Part 1.vi for the reference floating-point filter you use in this tutorial. |

After you select a filter structure for the reference floating-point filter, you can scale the filter coefficients in Part 2 of this tutorial.
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Note Refer to labview\examples\Digital Filter Design\Getting Started\Tutorials\Designing a Fixed-Point Filter\Designing a Fixed-Point Filter Part 1.vi for a completed version of the digital filter from this tutorial. |
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