With Python/Scipy, if I have a simply BPSK signal sequence
[1, -1, -1, 1, ...], how can I generate a real-valued baseband waveforms with oversampling rate
m, and common pulse shapes such as
root raised cosine,
In Matlab I found this
fdesign.pulseshaping function, is there an equivalent function in SciPy? If not how can I implement this myself?
I think in other words, how can I find filter coefficient
a of root raised cosine or Nyquist filters so I use signal.filtfilt?