Root Raised Cosine Filter

The most common usage documented in the tutorials and examples is:

firdes.root_raised_cosine(nfilts, nfilts, 1.0/float(sps), 0.35, 11*sps*nfilts)

self.rrc_taps = filter.firdes.root_raised_cosine(           nfilts,          # gain            nfilts,          # sampling rate based on 32 filters in resampler            1.0,             # symbol rate            self._excess_bw, # excess bandwidth (roll-off factor)            ntaps) Source: https://github.com/gnuradio/gnuradio/blob/4849af9ad83bc16d21e2c63ab95bab1755289c2f/gr-digital/python/digital/generic_mod_demod.py#L126

Note the sampling rate is not the sample_rate in the .grc file

Numerous block diagrams in this wiki use this block, unfortunately none of those examples include a .grc file so their usage is a mystery. However, the above form us used in the PSK tutorial and several other tutorials and examples. I could not find nor create a working example that conforms to the next section. Discussion from someone else's attempt: https://lists.gnu.org/archive/html/discuss-gnuradio/2018-05/msg00274.html

Another common usage is:

taps = filter.firdes.root_raised_cosine(nfilts, nfilts * sps, 1.0, excess_bw, 11*sps*nfilts)

as in https://github.com/gnuradio/gnuradio/blob/94d52b9ac28739a4b9ddf1a66c45d0bf5ea19e87/gr-digital/python/digital/qa_pfb_clock_sync.py

This filter is a convenience wrapper for an fir filter and a firdes taps generating function.

Parameters
(R): Run-time adjustable


 * Decimation
 * Description of parameter, provide any tips or recommended values. Note that the name of the parameter above should match the param's label that shows up in grc (e.g. Sample Rate).


 * Gain (R)
 * Overall gain of filter (typically 1.0)


 * Sample Rate (R)
 * Sample rate in Hertz.


 * Symbol Rate (R)
 * Symbol rate, must be a factor of sample rate


 * Alpha (R)
 * Excess bandwidth factor


 * Num Taps (R)
 * Number of taps

Example Flowgraph
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.

Source Files

 * C++ files
 * TODO


 * Header files
 * TODO


 * Public header files
 * Taps creation
 * Filter definition


 * Block definition
 *