使用Ego1平台进行间接测量法测量方波脉冲信号的频率和占空比 - Python仿真代码

以下为使用Ego1平台，采用间接测量法对方波脉冲信号的频率和占空比进行测量的仿真代码：

import numpy as np

# 生成方波脉冲信号
def generate_square_wave(frequency, duty_cycle, duration, sample_rate):
    # 计算周期
    period = 1 / frequency
    # 计算高电平持续时间
    high_duration = period * duty_cycle
    # 计算低电平持续时间
    low_duration = period * (1 - duty_cycle)
    # 计算总采样点数
    num_samples = int(duration * sample_rate)
    # 生成时间序列
    time = np.linspace(0, duration, num_samples)
    # 创建方波脉冲信号
    signal = np.zeros(num_samples)
    # 设置高电平
    signal[time < high_duration] = 1
    return signal

# 间接测量频率和占空比
def measure_frequency_and_duty_cycle(signal, sample_rate):
    # 计算信号的周期
    period = 1 / sample_rate
    # 寻找上升沿和下降沿的位置
    rising_edges = np.where(np.diff(signal) > 0)[0]
    falling_edges = np.where(np.diff(signal) < 0)[0]
    # 计算脉冲宽度
    pulse_widths = (falling_edges - rising_edges) * period
    # 计算频率
    frequency = 1 / np.mean(pulse_widths)
    # 计算占空比
    duty_cycle = np.mean(pulse_widths) / period
    return frequency, duty_cycle

# 设置方波脉冲信号的参数
frequency = 10  # 频率为10Hz
duty_cycle = 0.5  # 占空比为50%
duration = 1  # 信号持续时间为1秒
sample_rate = 1000  # 采样率为1000Hz

# 生成方波脉冲信号
signal = generate_square_wave(frequency, duty_cycle, duration, sample_rate)

# 间接测量频率和占空比
measured_frequency, measured_duty_cycle = measure_frequency_and_duty_cycle(signal, sample_rate)

# 输出测量结果
print('Measured Frequency: ', measured_frequency)
print('Measured Duty Cycle: ', measured_duty_cycle)

注意：以上代码使用Python语言编写，使用numpy库进行信号处理。在运行代码之前，请确保已经安装了numpy库。