Ejemplos de convolve en Python

Ejemplo n.º 1

def histogram_filter_step(belief, control, measurement):
    """Bayes filter step implementation: histogram filter."""
    # These two lines is the entire filter!
    prediction = convolve(belief, control)
    correction = multiply(prediction, measurement)

    return (prediction, correction)

Ejemplo n.º 2

Archivo: slam_06_f_kalman_vs_histogram_filter_question.py Proyecto: SDCND/SLAM_VS

def histogram_filter_step(belief, control, measurement):
    """Bayes filter step implementation: histogram filter."""
    # These two lines is the entire filter!
    prediction = convolve(belief, control)
    correction = multiply(prediction, measurement)

    return (prediction, correction)

Ejemplo n.º 3

Archivo: slam_06_e_histogram_filter_cleanedup.py Proyecto: Willyzw/slamCourse

def histogram_filter_step(belief, control, measurement):
    """Bayes filter step implementation: histogram filter."""
    # These two lines is the entire filter!
    prediction = convolve(belief, control)
    correction = multiply(prediction, measurement)

    # Return both prediction and corrrection. This is for plotting only.
    # Normally, this would just return the correction.
    return (prediction, correction)

Ejemplo n.º 4

Archivo: slam_06_e_histogram_filter_cleanedup.py Proyecto: zxsted/Filter-SLAM

def histogram_filter_step(belief, control, measurement):
    """Bayes filter step implementation: histogram filter."""
    # These two lines is the entire filter!
    prediction = convolve(belief, control)
    correction = multiply(prediction, measurement)

    # Return both prediction and corrrection. This is for plotting only.
    # Normally, this would just return the correction.
    return (prediction, correction)