High frequency content measure
In signal processing, the high frequency content measure is a simple measure, taken across a signal spectrum (usually a STFT spectrum), that can be used to characterize the amount of high-frequency content in the signal. The magnitudes of the spectral bins are added together, but multiplying each magnitude by the bin "position" (proportional to the frequency). Thus if X(k) is a discrete spectrum with N unique points, its high frequency content measure is:
The measure has close similarities to the spectral centroid measure, being essentially the same calculation but without normalization according to overall magnitude.
- P. Brossier, J. P. Bello and M. D. Plumbley. Real-time temporal segmentation of note objects in music signals, in Proceedings of the International Computer Music Conference (ICMC 2004), Miami, Florida, USA, November 1–6, 2004.
- Masri, P. (1996). Computer modeling of Sound for Transformation and Synthesis of Musical Signal. PhD dissertation, University of Bristol.
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