This block implements a decimating filter using the fast convolution method via an FFT. It is an alternative to the Decimating FIR Filter, useful when there is a large number of taps.
This filter is implemented by using the FFTW package to perform the required FFTs. An optional argument, nthreads, may be passed to the constructor (or set using the set_nthreads member function) to split the FFT among N number of threads. This can improve performance on very large FFTs (that is, if the number of taps used is very large) if you have enough threads/cores to support it.
For standard filters such as lowpass, highpass, bandpass, etc., the filter.firdes and filter.optfir classes provide convenient generating methods.
- Decimation rate. The output stream will have this decimation applied to it. A decimation rate of 1 simply means no decimation. If decimation is set higher than 1, make sure the filter will remove energy outside of the "output region", i.e. -Fs/2 to Fs/2 where Fs is the input sample rate divided by the decimation rate.
- Taps (R)
- Taps to use in FIR filter.
- Sample Delay
- Number of additional samples to delay signal by.
- Number of Threads
- Number of threads to use for this block, i.e. to increase performance on multicore CPUs.
Insert description of flowgraph here, then show a screenshot of the flowgraph and the output if there is an interesting GUI. Currently we have no standard method of uploading the actual flowgraph to the wiki or git repo, unfortunately. The plan is to have an example flowgraph showing how the block might be used, for every block, and the flowgraphs will live in the git repo.
- C++ files
- Header files
- Public header files
- Block definition