# create waveforms
sample_cnt = 96
fs = 1e9 # sampling frequency
f = fs / 32
# mu=30, sigma=10, dirAmpl=1.0 fits 64 samples nicely
mu = 30e-9
sigma = 10e-9
dir_ampl = 1.0
# mu2=15, sigma2=5, dirAmpl2=1.0 fits 64 samples nicely
mu2 = 15e-9
sigma2 = 5e-9
dir_ampl2 = 1.0
wv_cos = Waveform.cos(fs, sample_cnt, f)
wv_sin = Waveform.sin(fs, sample_cnt, f)
wv_zero = Waveform.DC(fs, sample_cnt)
wv_hi = Waveform.DC(fs, sample_cnt, 1.0)
wv_lo = Waveform.DC(fs, sample_cnt, -1.0)
wv_gauss = Waveform.gauss(fs, sample_cnt, mu, sigma)
wv_deriv_gauss = Waveform.derivGauss(fs, sample_cnt, mu, sigma, dir_ampl)
wv_gauss2 = Waveform.gauss(fs, sample_cnt, mu2, sigma2)
wv_deriv_gauss2 = Waveform.derivGauss(fs, sample_cnt, mu2, sigma2, dir_ampl2)
qwg = QWG('qwg_9', IPTransport('192.168.0.191'))
qwg.init()
def run(continuous=True):
if continuous:
qwg.create_waveform_real('cos', wv_cos)
