Graph embedding - Revision history

en>Tomo: /* Terminology */

2014-10-30T00:51:28Z

Terminology

← Older revision		Revision as of 02:51, 30 October 2014
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	~~Nice to meet you, I am~~ Marvella ~~Shryock. North Dakota~~ is her ~~beginning place~~ but ~~she will have to move one working day or another~~. ~~To do aerobics is~~ a ~~thing that~~ I'~~m completely addicted to~~. ~~He used to be unemployed but now he~~ is ~~a pc operator but his promotion by no means comes~~.<br><br>Also visit my ~~blog: over the counter std test (~~[~~https~~://~~www~~.~~machlitim~~.~~org~~.il/~~subdomain/megila/end/node/9243 Check Out www.machlitim.org.il~~])		Marvella is what you can call her but it's not the most female name out there. I am a meter reader but I plan on changing it. For many years he's been residing in North Dakota and his family members loves it. Doing ceramics is what adore performing.<br><br>Also visit my webpage ... [http://rtdcs.hufs.ac.kr/?document_srl=780411 std home test]

en>Quebec99: fixed references

2014-02-06T14:21:30Z

fixed references

← Older revision		Revision as of 16:21, 6 February 2014
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	~~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:~~		Nice to meet you, I am Marvella Shryock. North Dakota is her beginning place but she will have to move one working day or another. To do aerobics is a thing that I'm completely addicted to. He used to be unemployed but now he is a pc operator but his promotion by no means comes.<br><br>Also visit my blog: over the counter std test ([https://www.machlitim.org.il/subdomain/megila/end/node/9243 Check Out www.machlitim.org.il])

	: <~~math~~>
	~~\mathrm{HFC} = \sum_{i=0}^{N-1} i\|X(i)\|~~
	<~~/math~~>

	~~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.~~

	~~==References==~~

	* P. Brossier, J. P. Bello and M. D. Plumbley. ''[http://~~aubio~~.~~piem~~.org/~~articles~~/brossier04realtimesegmentation.pdf 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.~~

	~~[[Category:Digital signal processing~~]]


	~~{{Signal-processing-stub}}~~

128.221.224.62 at 12:17, 30 November 2013

2013-11-30T12:17:06Z

← Older revision		Revision as of 14:17, 30 November 2013
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	~~Greetings~~. ~~Allow me start~~ by ~~telling you~~ the ~~writer~~'~~s title~~ - ~~Phebe. North Dakota~~ is ~~where me and my husband reside~~. ~~Since she was 18 she's been working~~ as ~~a receptionist but her promotion by no means arrives~~. ~~One of~~ the ~~very best things in~~ the ~~globe for him is to collect badges~~ but ~~he is having difficulties~~ to ~~discover time for it~~.~~<br><br>Also visit my blog post :: std home test (~~[http://~~jewelrycase~~.co.kr/xe/~~Ring/11593 go here~~])		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:

			: <math>
			\mathrm{HFC} = \sum_{i=0}^{N-1} i\|X(i)\|
			</math>

			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.

			==References==

			* P. Brossier, J. P. Bello and M. D. Plumbley. ''[http://aubio.piem.org/articles/brossier04realtimesegmentation.pdf 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.

			[[Category:Digital signal processing]]


			{{Signal-processing-stub}}

en>Helpful Pixie Bot: ISBNs (Build KC)

2012-05-06T00:04:32Z

ISBNs (Build KC)

New page

Greetings. Allow me start by telling you the writer's title - Phebe. North Dakota is where me and my husband reside. Since she was 18 she's been working as a receptionist but her promotion by no means arrives. One of the very best things in the globe for him is to collect badges but he is having difficulties to discover time for it.<br><br>Also visit my blog post :: std home test ([http://jewelrycase.co.kr/xe/Ring/11593 go here])