第17章 共振前端实验[2/2页]

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    ;  identifier

    for

    the

    nanorobot

    =

    amplification_threshold

    Minimum

    signal

    strength

    to

    trigger

    amplification

    =

    False

    Indicator

    if

    repair

    mode

    is

    active

    Capture

    and

    analyze

    the

    neural

    signal

    def

    capture_signal(self,

    signal):

    processed_signal

    =

    if

    processed_signal

    ＜

    print(f"Robot

    Weak

    signal

    detected,

    bypassing

    amplification.")

    return

    processed_signal

    return

    Filter

    noise

    from

    the

    signal

    using

    basic

    thresholding

    def

    filter_noise(self,

    signal):

    noise_reduction_factor

    =

    Simulate

    noise

    filtering

    filtered_signal

    =

    signal

    *

    noise_reduction_factor

    print(f"Robot

    Signal

    filtered

    to

    {filtered_signal}")

    return

    filtered_signal

    Amplify

    the

    signal

    if

    it's

    above

    a

    certain

    threshold

    def

    amplify_signal(self,

    signal):

    amplification_factor

    =

    2.0)

    Random

    amplification

    within

    range

    amplified_signal

    =

    signal

    *

    amplification_factor

    print(f"Robot

    Amplified

    signal

    to

    {amplified_signal}")

第17章 共振前端实验[2/2页]

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