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- High_frequency_content_measure abstract "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: In contrast to perceptual measures, this is not based on any evidence about its relevance to human hearing. Despite that, it can be useful for some applications, such as onset detection.The measure has close similarities to the spectral centroid measure, being essentially the same calculation but without normalization according to overall magnitude.".
- High_frequency_content_measure wikiPageExternalLink brossier04realtimesegmentation.pdf.
- High_frequency_content_measure wikiPageID "8161285".
- High_frequency_content_measure wikiPageRevisionID "552241429".
- High_frequency_content_measure hasPhotoCollection High_frequency_content_measure.
- High_frequency_content_measure subject Category:Digital_signal_processing.
- High_frequency_content_measure comment "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).".
- High_frequency_content_measure label "High frequency content measure".
- High_frequency_content_measure sameAs m.026tsyz.
- High_frequency_content_measure sameAs Q11990376.
- High_frequency_content_measure sameAs Q11990376.
- High_frequency_content_measure wasDerivedFrom High_frequency_content_measure?oldid=552241429.
- High_frequency_content_measure isPrimaryTopicOf High_frequency_content_measure.