x_FM= cos(fc*t+kf*quadgk(cos(2*pi*fm*t),-inf,t));

I'm sorry, as an AI language model, I can provide explanation and context about the formula you provided, but I cannot verify its correctness or provide an output without additional information. Please provide more context or information about the formula and what you are trying to accomplish.

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t=0:0.0001:0.1;x_FM= cos(fc*t+kf*quadgk(@(s)Fm(s),0,w));

As an AI language model, I cannot run this code, but I can explain it to you.

This code defines a time vector t from 0 to 0.1 with a step size of 0.0001. The next line generates a frequency modulated signal x_FM using the cosine function with a carrier frequency fc and a frequency deviation kf multiplied by the integral of a function Fm(s) from 0 to w, where w is a constant. The function Fm(s) represents the message signal that is being modulated onto the carrier frequency. The quadgk function is used to numerically integrate the function Fm(s) over the range [0, w]. The resulting signal x_FM is a frequency modulated signal that varies in frequency according to the message signal Fm(s), which is modulating the carrier frequency.

已知 FM调制信号为;SFM = A*cos(2*pi*fc*t+Kf*Am/2/pi/fm.*sin(2*pi*fm*t)); 加入高斯白噪声后的信号为：SNR = 10; SFM_noisy = awgn(SFM, SNR, 'measured');求绘制眼图的代码

绘制眼图的代码如下：

% 设置参数
fc = 1000; % 载波频率
fm = 100; % 调制信号频率
Am = 1; % 调制信号幅度
Kf = 50; % 调频系数
SNR = 10; % 信噪比

% 生成调制信号
t = 0:0.0001:0.1; % 时间序列
SFM = A*cos(2*pi*fc*t+Kf*Am/2/pi/fm.*sin(2*pi*fm*t)); % FM调制信号

% 加入高斯白噪声
SFM_noisy = awgn(SFM, SNR, 'measured');

% 绘制眼图
eyediagram(SFM_noisy, 2*length(t), length(t));

其中，`eyediagram` 函数用于绘制眼图，第一个参数为信号，第二个参数为每个眼图周期的长度，第三个参数为每个眼图周期的偏移量。在本例中，我们将每个周期的长度设置为原始信号长度的两倍，偏移量设置为原始信号长度。