使用EGO1进行方波脉冲信号频率和占空比测量 - 间接测量法及Python仿真代码

以下是使用EGO1进行频率和占空比测量的仿真代码：\n\npython\nimport numpy as np\nimport matplotlib.pyplot as plt\n\n# 生成方波脉冲信号\ndef generate_square_wave(frequency, duty_cycle, duration, sampling_rate):\n time = np.arange(0, duration, 1/sampling_rate)\n waveform = np.zeros_like(time)\n period = 1 / frequency\n high_time = period * duty_cycle\n low_time = period * (1 - duty_cycle)\n for i, t in enumerate(time):\n if t % period < high_time:\n waveform[i] = 1\n return time, waveform\n\n# 间接测量法测量频率和占空比\ndef measure_frequency_and_duty_cycle(time, waveform, sampling_rate):\n # 计算周期\n period = np.diff(time)[0]\n # 计算上升沿和下降沿位置\n rising_edges = np.where(np.diff(waveform) > 0)[0]\n falling_edges = np.where(np.diff(waveform) < 0)[0]\n # 计算脉冲宽度和占空比\n pulse_widths = (falling_edges - rising_edges) * period\n duty_cycles = pulse_widths / period\n # 计算频率\n frequencies = 1 / (pulse_widths + np.diff(falling_edges) * period)\n # 返回测量结果\n return frequencies, duty_cycles\n\n# 设置信号参数\nfrequency = 10 # Hz\nduty_cycle = 0.5\nduration = 1 # s\nsampling_rate = 1000 # Hz\n\n# 生成方波脉冲信号\ntime, waveform = generate_square_wave(frequency, duty_cycle, duration, sampling_rate)\n\n# 进行频率和占空比测量\nfrequencies, duty_cycles = measure_frequency_and_duty_cycle(time, waveform, sampling_rate)\n\n# 打印测量结果\nprint("Measured Frequencies:", frequencies)\nprint("Measured Duty Cycles:", duty_cycles)\n\n# 绘制方波脉冲信号\nplt.plot(time, waveform)\nplt.xlabel('Time (s)')\nplt.ylabel('Amplitude')\nplt.show()\n\n\n以上代码中，generate_square_wave函数用于生成方波脉冲信号，measure_frequency_and_duty_cycle函数用于使用间接测量法测量频率和占空比。最后，通过调用这两个函数，可以生成方波脉冲信号并进行频率和占空比的测量，结果将打印出来，并绘制出方波脉冲信号的波形图。