清空筛选条件
清空筛选条件

how to calculate and plot power spectral density of a given signal

77 次查看（过去 30 天）
arash
arash 2014-2-5
评论： Rahul Gulia 2023-1-3
I have signal and i want to plot it's power spectral density , What should i do? is it right if i first calculate the FFT of a signal and then get the square abs of it's value?
  1 个评论
Rahul Gulia
Rahul Gulia 2023-1-3
Yes, I agree. We need to take the FFT to get its frequency components and then generate its absolute value plot to learn about its PSD.

请先登录，再进行评论。

请先登录，再回答此问题。

采纳的回答

Wayne King
Wayne King 2014-2-5
编辑：Wayne King 2014-2-5
If you have the Signal Processing Toolbox, it is easiest to use periodogram().
That handles all the scaling for you.
Fs = 1000;
t = 0:1/Fs:1-1/Fs;
x = cos(2*pi*100*t)+randn(size(t));
[Pxx,F] = periodogram(x,[],length(x),Fs);
plot(F,10*log10(Pxx))
If you do not have the Signal Processing Toolbox, the PSD is proportional to the absolute value squared of the DFT (calculated by fft())
For more information on that scaling, please see:
PSD estimates using FFT

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Parametric Spectral Estimation 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by