* gr_plot_*:
These are a collection of Python scripts to enable viewing and
analysis of files produced by GNU Radio flow graphs. Most of them work
off complex data produced by digital waveforms.


** gr_plot_float:
Takes a GNU Radio floating point binary file and displays the samples
versus time. You can set the block size to specify how many points to
read in at a time and the start position in the file.

By default, the system assumes a sample rate of 1, so in time, each
sample is plotted versus the sample number. To set a true time axis,
set the sample rate (-R or --sample-rate) to the sample rate used when
capturing the samples.



** gr_plot_iq:
Takes a GNU Radio complex binary file and displays the I&Q data versus
time. You can set the block size to specify how many points to read in
at a time and the start position in the file.

By default, the system assumes a sample rate of 1, so in time, each
sample is plotted versus the sample number. To set a true time axis,
set the sample rate (-R or --sample-rate) to the sample rate used when
capturing the samples.



** gr_plot_const:
Takes a GNU Radio complex binary file and displays the I&Q data versus
time and the constellation plot (I vs. Q). You can set the block size
to specify how many points to read in at a time and the start position
in the file.

By default, the system assumes a sample rate of 1, so in time, each
sample is plotted versus the sample number. To set a true time axis,
set the sample rate (-R or --sample-rate) to the sample rate used when
capturing the samples.



** gr_plot_fft_c:
Takes a GNU Radio complex binary file and displays the I&Q data versus
time as well as the frequency domain (FFT) plot. The y-axis values are
plotted assuming volts as the amplitude of the I&Q streams and
converted into dBm in the frequency domain (the 1/N power adjustment
out of the FFT is performed internally).

The script plots a certain block of data at a time, specified on the
command line as -B or --block. This value defaults to 1000. The start
position in the file can be set by specifying -s or --start and
defaults to 0 (the start of the file).

By default, the system assumes a sample rate of 1, so in time, each
sample is plotted versus the sample number. To set a true time and
frequency axis, set the sample rate (-R or --sample-rate) to the
sample rate used when capturing the samples.



** gr_plot_fft_f:
Takes a GNU Radio floating point binary file and displays the samples
versus time as well as the frequency domain (FFT) plot. The y-axis
values are plotted assuming volts as the amplitude of the I&Q streams
and converted into dBm in the frequency domain (the 1/N power
adjustment out of the FFT is performed internally).

The script plots a certain block of data at a time, specified on the
command line as -B or --block. This value defaults to 1000. The start
position in the file can be set by specifying -s or --start and
defaults to 0 (the start of the file).

By default, the system assumes a sample rate of 1, so in time, each
sample is plotted versus the sample number. To set a true time and
frequency axis, set the sample rate (-R or --sample-rate) to the
sample rate used when capturing the samples.


** gr_plot_fft:
Takes a GNU Radio binary file (the datatype is specified using the -d
option and defaults to complex64) and displays the samples versus time
as well as the frequency domain (FFT) plot. The y-axis values are
plotted assuming volts as the amplitude of the I&Q streams and
converted into dBm in the frequency domain (the 1/N power adjustment
out of the FFT is performed internally).

The script plots a certain block of data at a time, specified on the
command line as -B or --block. This value defaults to 1000. The start
position in the file can be set by specifying -s or --start and
defaults to 0 (the start of the file).

By default, the system assumes a sample rate of 1, so in time, each
sample is plotted versus the sample number. To set a true time and
frequency axis, set the sample rate (-R or --sample-rate) to the
sample rate used when capturing the samples.