Owning Palette: Advanced FIR Filtering VIs
Requires: Full Development System
Filters the input sequence X using the interpolated FIR (IFIR) filter specified by IFIR Coefficients.
Use the pull-down menu to select an instance of this VI.
Add to the block diagram | Find on the palette |
X is the input signal to filter. | |||||||||||||||||||||
IFIR Coefficients is a cluster that contains IFIR filter coefficients. You can use the FIR Narrowband Coefficients VI to generate the IFIR Coefficients to use.
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Filtered X is the output array of filtered samples. | |||||||||||||||||||||
error returns any error or warning from the VI. You can wire error to the Error Cluster From Error Code VI to convert the error code or warning into an error cluster. |
X is the input signal to filter. | |||||||||||||||||||||
IFIR Coefficients is a cluster that contains IFIR filter coefficients. You can use the FIR Narrowband Coefficients VI to generate the IFIR Coefficients to use.
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Filtered X is the output array of filtered samples. | |||||||||||||||||||||
error returns any error or warning from the VI. You can wire error to the Error Cluster From Error Code VI to convert the error code or warning into an error cluster. |
The overall filter is a linear-phase FIR filter. This VI calculates the delay for the filter using the following equation:
where NG is the number of elements in the array Model Filter, NI is the number of elements in the array Image Suppressor, and M is the value of interpolation.
You can design narrowband FIR filters using the FIR Narrowband Coefficients VI, and then implement the filtering using the FIR Narrowband Filter VI. The design and implementation are separate operations, because many narrowband filters require long design times, whereas the actual filtering is very fast and efficient. Keep this in mind when creating your narrowband filtering diagrams.