Updated observers and Kalman Filter, added running average

This commit is contained in:
dario
2024-04-19 10:52:34 +02:00
parent 8b80a6d9d5
commit 475270e1a1
21 changed files with 20865 additions and 3544 deletions

View File

@@ -10,14 +10,17 @@ from spatz.transforms import Transform
class PressureSensor(Sensor):
def __init__(self, dataset: Dataset, logger: Logger, transforms: List[Transform] = [], ts_effects=True):
"""
def __init__(self, dataset: Dataset, logger: Logger, transforms: List[Transform] = [], ts_effects=True, delay=0.0):
"""_summary_
Args:
dataset (Dataset): A dataset instance.
logger (Logger): _description_
transforms (List[Transform], optional): Transforms to apply to the sensor outputs. Defaults to [].
ts_effects (bool, optional): If True, models transsonic effects. Defaults to True.
ts_effects (bool, optional): If True, adds transsonic effects using a very simple model. Defaults to True.
delay (float, optional): Adds a delay to the pressure measurements. Defaults to 0.0.
"""
super(PressureSensor, self).__init__(dataset, logger, transforms)
super(PressureSensor, self).__init__(dataset, logger, transforms, min_value=0)
self._ts_effects = ts_effects