def frequency_domain_transform(time_domain_waveform, times):
sampling_frequency = 1 / (times[1] - times[0])
frequencies = None
frequency_domain_strain = dict()
for key in time_domain_waveform:
frequency_domain_strain[key], frequencies =\
utils.nfft(time_domain_waveform[key], sampling_frequency)
return frequency_domain_strain, frequencies
def frequency_domain_transform(time_domain_strain, times, window_type=None):
sampling_frequency = 1 / (times[1] - times[0])
frequencies = None
if window_type != None:
window = get_window(window_type, time_domain_strain.size)
time_domain_strain = time_domain_strain * window
frequency_domain_strain, frequencies = utils.nfft(time_domain_strain,
sampling_frequency)
return frequency_domain_strain, frequencies
def frequency_domain_transform(time_domain_strain, times):
sampling_frequency = 1 / (times[1] - times[0])
frequencies = None
frequency_domain_strain = dict()
for key in time_domain_strain:
# window = get_window('hann', time_domain_strain[key].size)
# time_domain_strain[key] = time_domain_strain[key] * window
frequency_domain_strain[key], frequencies =\
utils.nfft(time_domain_strain[key], sampling_frequency)
return frequency_domain_strain, frequencies
def frequency_domain_transform(time_domain_strain, times, window_type=None):
sampling_frequency = 1 / (times[1] - times[0])
frequencies = None
frequency_domain_strain = dict()
for key in time_domain_strain:
if window_type != None:
window = get_window(window_type, time_domain_strain[key].size)
time_domain_strain[key] = time_domain_strain[key] * window
frequency_domain_strain[key], frequencies = utils.nfft(
time_domain_strain[key], sampling_frequency)
return frequency_domain_strain, frequencies
def frequency_domain_transform(time_domain_strain, times):
sampling_frequency = 1 / (times[1] - times[0])
frequencies = None
frequency_domain_strain = dict()
for key in time_domain_strain:
window = get_window(("tukey", 0.001), time_domain_strain[key].size)
time_domain_strain[key] = time_domain_strain[key] * window
frequency_domain_strain[key], frequencies = utils.nfft(
time_domain_strain[key], sampling_frequency)
return frequency_domain_strain, frequencies
def frequency_domain_transform(time_domain_strain, times):
sampling_frequency = 1 / (times[1] - times[0])
frequencies = None
frequency_domain_strain, frequencies = utils.nfft(time_domain_strain,
sampling_frequency)
return frequency_domain_strain, frequencies