绘制PSD: 使用MATLAB的绘图功能,如plot函数,绘制计算得到的PSD。同时,根据需要添加频率向量,以便正确显示横轴: matlab f = fs * (0:(nfft/2)) / nfft; % 频率向量(只取一半,因为FFT结果是对称的) figure; % 创建新图形窗口 plot(f, 10*log10(pxx(1:nfft/2+1))); % 绘制功率谱密度图,并
PSDPLOT(Pxx,W,UNITS,YSCALE,TITLESTRING) will use the specified string for the title of the plot.NOTE: The PSDPLOT function is OBSOLETE. To plot spectrum data use the new DSP data objects. With these objects you can plot Power Spectral Density or Power Spectrum data, and specify...
This function simply reduces the number of manual steps required to create a power spectral density plot of a time series. Syntax and examples are found in the plodpsd documentation file to the right (light bulb icon). Cite As Chad Greene (2025). plotpsd (https://www.mathworks.com/...
FFT(快速傅里叶变换)计算1维信号的功率谱密度(PSD)和单边幅度谱Y[f]。 1)计算1维信号y(t)的功率谱密度(P(f))、幅度谱(F(f))以及采样率为Fs(奈奎斯特率)的幅度谱,该采样率事先已知。结果分别绘制在三个图中,对应简单的功率谱密度(PSD)、对数功率谱密度(dB)和幅度谱。 幅度(f)= √PSD(f) 2)该函...
plot(f,10*log10(Pxx)) xlabel('Frequency (Hz)') ylabel('PSD (dB/Hz)') There are 2 kind of peaks in this plot but because it's decreasing, the 2 peaks around 30hz and 75Hz are not significant compare to the 0Hz area. Does this plot actually give more information during those 2 ...
PSD_all = PS_all./df; %计算功率谱密度 f2 = f2_all(1:N2); %截取为单边谱 PS = PS_all(1:N2)*2; PSD = PSD_all(1:N2)*2; %绘制生成风速数据的PSD图与标准PSD图 figure(2) loglog(f2,PSD) hold on sf3 = 4*sigma^2*(Lk/Vhub)./(1+6*f2*Lk/Vhub).^(5/3); %IECKAI功率谱计...
PSD函数的输出为一个矩阵，其中每个元素代表了信号在相应频率上的功率谱密度值。下面是一个简单的用法示例：生成一个随机信号 N = 1000;信号长度 t = (0:N-1)*0.02;时间序列 x = randn(N,1);随机信号 计算信号的PSD fs = 2;采样频率 y = PSD(x, fs);绘制PSD曲线 figure;plot(y(:,1));xlabel(...
(1)功率谱密度:PSD 在实际情况下,雷达接收的回波信号会被噪声污染噪声本质上是随机的,可以用其功率密谱度来描述,同时噪声功率也是雷达工作带宽的函数 (2)信噪比及改写雷达方程 1.5.2.1.信噪比的仿真(1)matlab实现 注释:下面的函数用于实现(1.56),即实现雷达距离方程,也就是实现了相关指标都确定,检测距离也确定...
psdplot(Pyy2/max(Pyy2),wy2); %量化 [~,Yo4] = quantiz(Yo_phase,Q_interval,cb); %频谱分析; [Pzz3,wz3]= periodogram(Yo4,[],'onesided',pp); figure; subplot(211); plot(Yo4);title('进行相位位宽截取'); xlim([0,200]); ...
;holdon%标准线,A=1.05,B=1.55,x的单位1/μmplot([0.03,0.03],[1,10^12],'r');%低频误差plot([8.3,8.3],[1,10^12],'b');%中频误差legend('0°','30°','60°','90°','120°','150°','标准线','低频范围','中频范围');xlabel('空间频率(1/mm)');ylabel('对数PSD(nm^2mm)'...