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Constant OffsetΒΆ
In this example, we will use the
ConstantOffset
class to
offset the baseline of a dataset by a constant.
Below we import the necessary modules
import csdmpy as cp
import numpy as np
from mrsimulator import signal_processor as sp
First we create processor
, an instance of the
SignalProcessor
class. The required
attribute of the SignalProcessor class, operations, is a list of operations to which
we add a ConstantOffset
object.
processor = sp.SignalProcessor(operations=[sp.baseline.ConstantOffset(offset=0.2)])
Next we create a CSDM object with a test dataset which our signal processor will operate on. Here, the dataset spans 500 Hz with a delta function centered at 0 hz
test_data = np.zeros(500)
test_data[250] = 1
csdm_object = cp.CSDM(
dependent_variables=[cp.as_dependent_variable(test_data)],
dimensions=[cp.LinearDimension(count=500, increment="1 Hz", complex_fft=True)],
)
Now to apply the processor to the CSDM object, use the
apply_operations()
method as
follows
processed_dataset = processor.apply_operations(dataset=csdm_object.copy()).real
To see the results of the offset, we create a simple plot using the matplotlib
library.
import matplotlib.pyplot as plt
fig, ax = plt.subplots(1, 2, figsize=(8, 3.5), subplot_kw={"projection": "csdm"})
ax[0].plot(csdm_object, color="black", linewidth=1)
ax[0].set(ylim=(-0.1, 2.1))
ax[0].set_title("Before")
ax[1].plot(processed_dataset.real, color="black", linewidth=1)
ax[1].set(ylim=(-0.1, 2.1))
ax[1].set_title("After")
plt.tight_layout()
plt.show()
Total running time of the script: (0 minutes 1.408 seconds)