我有一个包含几十万个（时间、值）点的文件，我想从数据点估计波形的频率。我一直在考虑使用SciPy的find_peaks函数为每个峰选择一个点，并对峰之间的时间求平均值以找到频率。但是，find_peaks函数选择了许多峰，而不是下面所示的一个峰。

单个峰的特写：

我尝试使用prominence参数来过滤噪声，但我不明白为什么它不起作用。

peak_idxs = list(
        sig.find_peaks(
            data,
            prominence=0.15,
            width=(0, 0.05 * sample_freq),
        )[0]
    )
    troph_idxs = list(
        sig.find_peaks(
            np.negative(data),
            prominence=0.15,
            width=(0, 0.05 * sample_freq),
        )[0]
    )
    peak_criticals = [timestamps[i] for i in peak_idxs]
    troph_criticals = [timestamps[i] for i in troph_idxs]
    t_criticals_freqs = [
        1 / (b - a) for a, b in zip(peak_criticals[0:], peak_criticals[1:])
    ] + [1 / (b - a) for a, b in zip(troph_criticals[0:], troph_criticals[1:])]

    freq = statistics.mean(t_criticals_freqs)

    ax.plot(timestamps, data)
    ax.plot(
        [timestamps[i] for i in peak_idxs + troph_idxs],
        [data[i] for i in peak_idxs + troph_idxs],
        "r*",
    )