我使用以下代码在matlab中获得谱质心：

Fs = 200
v = [0.79230,0.28280,0.63000,0.64140,0.76430,0.25560,0.27780,0.73330,0.48960,0.01990];

s = spectrogram(v,rectwin(round(Fs*0.03)),...
                    round(Fs*0.02),...
                    numel(rectwin(round(Fs*0.03))),...
                    Fs,...
                    'power',...
                    'onesided');

X = abs(sqrt(s/2));
centroid = spectralCentroid(v,Fs,'Window',...
                                'OverlapLength',round(Fs*0.02),...
                                'FFTLength',numel(rectwin(round(Fs*0.03))),...
                                'Range',[0,Fs/2],...
                                'SpectrumType','power')
vsc = FeatureSpectralCentroid (X,Fs)

功能FeatureSpectralCentroid来自此链接：https://www.audiocontentanalysis.org/code/audio-features/spectral-centroid/

结果是：centroid = [10.6816,6.0146,19.6662]和vsc = [40.4499,27.4300,41.0146] 我还使用频谱质心的不同实现，结果也不同。有时是标量，而不是向量。如何使用FeatureSpectralCentroid获得与spectralCentroid中相同的结果？我们是否总能得到光谱质心的相同结果？