Long block - Revision history

Kjoonlee: #REDIRECT Block switching

2006-09-11T15:00:28Z

← Older revision		Revision as of 15:00, 11 September 2006
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	~~{{merge-to\|Block switching}}~~		#REDIRECT [[Block switching]]

	~~See also~~ [[Block switching]]

	Audio encoding systems will commonly summarise the sound energy in one small stretch of time at a time. The duration of a single summarisation is also called a [[window]] and once a window of sound has been quantised, selected and packed, it can be considered as an individual block of audio information to be finaly stored in a frame.

	Available mathematics used to summarise one block at a time can struggle with evenly representing details throughout a window's duration. There may be a tendency to mirror features at the start of the window onto the other end of the window, or the ends of the window might be the most efficient place to have details occur, it will depend on the particular mathematical transformation used.
	With such variance in transformation accuracy throughout each block, varying the size of blocks to best fit over the actual details present in the audio stream increases the overall accuracy of the encoding.

	[[LAME]] has only two block sizes available, [[Long block]] and [[Short block]]. In Lame's case Short blocks require more data to describe less time than Long blocks so they are only selected when they significantly improve the alignment of transformation windows to audio details.

Pepoluan: SUGGEST: MERGE-TO

2006-09-09T07:36:02Z

SUGGEST: MERGE-TO

← Older revision		Revision as of 07:36, 9 September 2006
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			{{merge-to\|Block switching}}

	See also [[Block switching]]		See also [[Block switching]]

Rjamorim: Fixed LAME link

2005-05-11T01:19:27Z

Fixed LAME link

← Older revision		Revision as of 01:19, 11 May 2005
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	With such variance in transformation accuracy throughout each block, varying the size of blocks to best fit over the actual details present in the audio stream increases the overall accuracy of the encoding.		With such variance in transformation accuracy throughout each block, varying the size of blocks to best fit over the actual details present in the audio stream increases the overall accuracy of the encoding.

	[[~~Lame~~]] has only two block sizes available, [[Long block]] and [[Short block]]. In Lame's case Short blocks require more data to describe less time than Long blocks so they are only selected when they significantly improve the alignment of transformation windows to audio details.		[[LAME]] has only two block sizes available, [[Long block]] and [[Short block]]. In Lame's case Short blocks require more data to describe less time than Long blocks so they are only selected when they significantly improve the alignment of transformation windows to audio details.

Chigung at 03:41, 10 May 2005

2005-05-10T03:41:37Z

← Older revision		Revision as of 03:41, 10 May 2005
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	See also [[Block ~~Switching~~]]		See also [[Block switching]]

	Audio encoding systems will commonly summarise the sound energy in one small stretch of time at a time. The duration of a single summarisation is also called a [[window]] and once a window of sound has been quantised, selected and packed, it can be considered as an individual block of audio information to be finaly stored in a frame.		Audio encoding systems will commonly summarise the sound energy in one small stretch of time at a time. The duration of a single summarisation is also called a [[window]] and once a window of sound has been quantised, selected and packed, it can be considered as an individual block of audio information to be finaly stored in a frame.

Chigung: i added this before i noticed blockswitching, may move it...

2005-05-10T03:41:08Z

i added this before i noticed blockswitching, may move it...

← Older revision		Revision as of 03:41, 10 May 2005
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			See also [[Block Switching]]

	Audio encoding systems will commonly summarise the sound energy in one small stretch of time at a time. The duration of a single summarisation is also called a [[window]] and once a window of sound has been quantised, selected and packed, it can be considered as an individual block of audio information to be finaly stored in a frame.		Audio encoding systems will commonly summarise the sound energy in one small stretch of time at a time. The duration of a single summarisation is also called a [[window]] and once a window of sound has been quantised, selected and packed, it can be considered as an individual block of audio information to be finaly stored in a frame.

Chigung at 03:34, 10 May 2005

2005-05-10T03:34:24Z

← Older revision		Revision as of 03:34, 10 May 2005
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	Audio encoding systems will commonly summarise the sound energy in one small stretch of time at a time. The duration of a single summarisation is also called a [[window]] and once a window of sound has been quantised, selected and packed, it can be considered as an individual block of audio information to be finaly stored in a frame.		Audio encoding systems will commonly summarise the sound energy in one small stretch of time at a time. The duration of a single summarisation is also called a [[window]] and once a window of sound has been quantised, selected and packed, it can be considered as an individual block of audio information to be finaly stored in a frame.

	Available mathematics used to summarise one block at a time can struggle with evenly representing details throughout a window's duration. There may be a tendency to mirror features at the start of the window onto the other end of the window, or the ends of the window might be the most efficient place to have details occur, it will depend on the particular mathematical transformation used.		Available mathematics used to summarise one block at a time can struggle with evenly representing details throughout a window's duration. There may be a tendency to mirror features at the start of the window onto the other end of the window, or the ends of the window might be the most efficient place to have details occur, it will depend on the particular mathematical transformation used.
	With such variance in transformation accuracy throughout each block, varying the size of blocks to best fit over the actual details present in the audio stream increases the overall accuracy of the encoding.		With such variance in transformation accuracy throughout each block, varying the size of blocks to best fit over the actual details present in the audio stream increases the overall accuracy of the encoding.

	[[Lame]] has only two block sizes available, [[Long block]] and [[Short block]]. In Lame's case Short blocks require more data to describe less time than Long blocks so they are only selected when they significantly improve the alignment of transformation windows to audio details.		[[Lame]] has only two block sizes available, [[Long block]] and [[Short block]]. In Lame's case Short blocks require more data to describe less time than Long blocks so they are only selected when they significantly improve the alignment of transformation windows to audio details.

Chigung at 03:33, 10 May 2005

2005-05-10T03:33:43Z

New page

Audio encoding systems will commonly summarise the sound energy in one small stretch of time at a time. The duration of a single summarisation is also called a [[window]] and once a window of sound has been quantised, selected and packed, it can be considered as an individual block of audio information to be finaly stored in a frame.
Available mathematics used to summarise one block at a time can struggle with evenly representing details throughout a window's duration. There may be a tendency to mirror features at the start of the window onto the other end of the window, or the ends of the window might be the most efficient place to have details occur, it will depend on the particular mathematical transformation used.
With such variance in transformation accuracy throughout each block, varying the size of blocks to best fit over the actual details present in the audio stream increases the overall accuracy of the encoding.
[[Lame]] has only two block sizes available, [[Long block]] and [[Short block]]. In Lame's case Short blocks require more data to describe less time than Long blocks so they are only selected when they significantly improve the alignment of transformation windows to audio details.