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这是我的matlab源代码

% let 'y' is a workspace file containg sampled data from DSO.
fs=2500;   %sampling freq
T=1/fs;     % sample time
L=2500;    % length of the signal
t=(0:L-1)*T;  %time vector
NFFT=2^nextpow2(L);   %next power of 2 from length of y. 
                      %p = nextpow2(y) returns the smallest power of two that is greater than or equal to the absolute value of L. 
                      %(That is, p that satisfies 2^p >= abs(L)). 
                      %This function is useful for optimizing FFT operations, which are most efficient when sequence length is an exact power of two. 
                      %If A is non-scalar, nextpow2 returns the smallest power of two greater than or equal to length(L).
Y=fft(y,NFFT)/L;
f=fs/2*linspace(0,1,NFFT/2);
% to plot signal-sided amplitude spectrum.
plot(f,2*abs(Y(1:NFFT/2)))
title('Single-sided amplitude spectrum of y(t)');
xlabel('Frequency (Hz');
ylabel('|Y(f)');
grid;
bar(f,2*abs(Y(1:NFFT/2)),'BarWidth',1)

我有一个来自数字示波器的采样数据，我想以条形图的形式获得 FFT。

绘制图形后，不同的标签、标题和网格也没有出现。

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1 回答 1

2

问题是您正在绘制初始图。

% to plot signal-sided amplitude spectrum.
plot(f,2*abs(Y(1:NFFT/2))) % create a plot
title('Single-sided amplitude spectrum of y(t)'); % annotate it nicely
xlabel('Frequency (Hz');
ylabel('|Y(f)');
grid;
% throw away all that nice data and plot and plot over it with this:
bar(f,2*abs(Y(1:NFFT/2)),'BarWidth',1)

尝试这个：

figure;
% to plot signal-sided amplitude spectrum.
plot(f,2*abs(Y(1:NFFT/2)))
title('Single-sided amplitude spectrum of y(t)');
xlabel('Frequency (Hz');
ylabel('|Y(f)');
grid;
figure;
bar(f,2*abs(Y(1:NFFT/2)),'BarWidth',1)
于 2012-03-12T14:24:29.320 回答