import fdasrsf as fs
data = np.load('simu_data.npz')
time = data['arr_1']
f = data['arr_0']
out = fs.srsf_align(f, time)
import numpy as np
from protoclass.data_management import RDAModality
from protoclass.preprocessing import MRSIPhaseCorrection
from fdasrsf import srsf_align
path_mrsi = '/data/prostate/experiments/Patient 1036/MRSI/CSI_SE_3D_140ms_16c.rda'
rda_mod = RDAModality(1250.)
rda_mod.read_data_from_path(path_mrsi)
phase_correction = MRSIPhaseCorrection(rda_mod)
rda_mod = phase_correction.transform(rda_mod)
# Get the data
data = np.reshape(rda_mod.data_, (rda_mod.data_.shape[0],
rda_mod.data_.shape[1] *
rda_mod.data_.shape[2] *
rda_mod.data_.shape[3]))
# Apply the curve alignment using the FDS-SRSF
out = srsf_align(np.real(data), rda_mod.bandwidth_ppm, smoothdata=False)
import fdasrsf as fs
import numpy as np
data = np.load('bin/simu_data.npz')
time = data['arr_1']
f = data['arr_0']
out = fs.srsf_align(f,time,showplot=False)
import numpy as np
from protoclass.data_management import RDAModality
from protoclass.preprocessing import MRSIPhaseCorrection
from fdasrsf import srsf_align
path_mrsi = '/data/prostate/experiments/Patient 1036/MRSI/CSI_SE_3D_140ms_16c.rda'
rda_mod = RDAModality(1250.)
rda_mod.read_data_from_path(path_mrsi)
phase_correction = MRSIPhaseCorrection(rda_mod)
rda_mod = phase_correction.transform(rda_mod)
# Get the data
data = np.reshape(rda_mod.data_,
(rda_mod.data_.shape[0], rda_mod.data_.shape[1] *
rda_mod.data_.shape[2] * rda_mod.data_.shape[3]))
# Apply the curve alignment using the FDS-SRSF
out = srsf_align(np.real(data), rda_mod.bandwidth_ppm, smoothdata=False)
import fdasrsf as fs
import numpy as np
data = np.load('simu_data.npz')
time = data['arr_1']
f = data['arr_0']
out = fs.srsf_align(f,time)