% 生成信号
fs = 10000;
t = 0:1/fs:1-1/fs;
x = sin(2*pi*1000*t);
% 窗函数win_dict = containers.Map({'rect', 'hanning', 'hamming', 'blackman', 'kaiser'}, {'boxcar', 'hann', 'hamming', 'blackman', @(L) kaiser(L, 5)});win_len = 256;
% 频谱分析
figure;
for idx = 1:numel(keys(win_dict))
win_name = keys(win_dict){idx}; % 获取窗函数名称
win_func = win_dict(win_name); % 获取窗函数
win = window(win_func(win_len),
win_len); % 计算窗函数
xw = x(1:win_len) .* win'; % 应用窗函数
Xw = fft(xw, win_len); % 进行FFT freq = linspace(0, fs/2, win_len/2+1); % 计算频率
Xw_db = 20*log10(abs(Xw(1:win_len/2+1))); % 转换为分贝
Xw_db = Xw_db - max(Xw_db); % 归一化
plot(freq, Xw_db, 'DisplayName', win_name); % 绘制曲线
hold on;
end
% 图像显示
xlim([0, 5000]);
ylim([-60, 0]);
xlabel('Frequency (Hz)');
ylabel('Magnitude (dB)');
legend('show');hold off;
grid on;
运行的报错