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#1
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Hi, I have a number of DAT tapes (16 bit/44.1kHz) resulting from dubbing
some my favorite LP's to DAT several years ago. These files are now on the computer as wave files and I intended to burn them onto audio CD's. (Redbook) Would it be best to run these 16bit / 44.1kHz files through a dithering algorithm before burning to audio CD's? Thanks in advance, Bob W __________ Information from ESET Smart Security, version of virus signature database 4087 (20090519) __________ The message was checked by ESET Smart Security. http://www.eset.com |
#2
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On Tue, 19 May 2009 09:37:28 -0500, "Bob W" wrote:
Hi, I have a number of DAT tapes (16 bit/44.1kHz) resulting from dubbing some my favorite LP's to DAT several years ago. These files are now on the computer as wave files and I intended to burn them onto audio CD's. (Redbook) Would it be best to run these 16bit / 44.1kHz files through a dithering algorithm before burning to audio CD's? Thanks in advance, No. The DAT did that for you, and also you can't dither after the fact - it has to be applied before digitisation, or you get both noise and quantization distortion. d |
#3
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Bob W wrote:
Hi, I have a number of DAT tapes (16 bit/44.1kHz) resulting from dubbing some my favorite LP's to DAT several years ago. These files are now on the computer as wave files and I intended to burn them onto audio CD's. (Redbook) Would it be best to run these 16bit / 44.1kHz files through a dithering algorithm before burning to audio CD's? No. Why would you want to? You're not changing the word length or altering the levels or anything. You have 16 bit wave files from a 16 bit source, right? --scott -- "C'est un Nagra. C'est suisse, et tres, tres precis." |
#4
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"Bob W" wrote in message
... Hi, I have a number of DAT tapes (16 bit/44.1kHz) resulting from dubbing some my favorite LP's to DAT several years ago. These files are now on the computer as wave files and I intended to burn them onto audio CD's. (Redbook) Would it be best to run these 16bit / 44.1kHz files through a dithering algorithm before burning to audio CD's? Only if you're processing them in any way (level changes, etc.), in which case you should convert to 24 bit or 32 bit, do the changes, then dither back to 16 bits. If not, leave them alone. Peace, Paul |
#5
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Bob W wrote:
Hi, I have a number of DAT tapes (16 bit/44.1kHz) resulting from dubbing some my favorite LP's to DAT several years ago. These files are now on the computer as wave files and I intended to burn them onto audio CD's. (Redbook) Would it be best to run these 16bit / 44.1kHz files through a dithering algorithm before burning to audio CD's? Only if you change them in some way. But check that the process you are doing does inherently include dither in the first place. geoff |
#6
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On May 19, 11:16 am, (Scott Dorsey) wrote:
Bob W wrote: Hi, I have a number of DAT tapes (16 bit/44.1kHz) resulting from dubbing some my favorite LP's to DAT several years ago. These files are now on the computer as wave files and I intended to burn them onto audio CD's. (Redbook) Would it be best to run these 16bit / 44.1kHz files through a dithering algorithm before burning to audio CD's? No. Why would you want to? You're not changing the word length or altering the levels or anything. You have 16 bit wave files from a 16 bit source, right? --scott -- "C'est un Nagra. C'est suisse, et tres, tres precis." Well you do have the option to apply dither when you burn CDs using Toast. But I think the dither option is intended for when you are applying fade in and fade outs, or using the AU plug ins options. Why one would wish to burn Redbook CD's of one's record collection though, I dunno. Redbook isn't neccesary for CDR copies, and Duplication plants are unlikely to burn CD's of your record collection for mass distribution. But - could dither make the artifacts down at the bottom of a 16 bit file less irritating? Correct me if I'm wrong, but doesn't dither not actually remove truncation distortion, but just make the artifacts less irritating by tricking the ear with broadband noise? Of course there is no bit reduction truncation here, but there are still probably artifacts. Anyway I would think if the DAT machine didn't apply dither, record noise is kinda loud and pretty broadband already. Will Miho NY TV/Audio Post/Music/Live Sound Guy "The large print giveth and the small print taketh away..." Tom Waits |
#7
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WillStG wrote:
But - could dither make the artifacts down at the bottom of a 16 bit file less irritating? Correct me if I'm wrong, but doesn't dither not actually remove truncation distortion, but just make the artifacts less irritating by tricking the ear with broadband noise? Of course there is no bit reduction truncation here, but there are still probably artifacts. Here we go again... NO. Dither actually removes truncation distortion if it's performed properly along with the truncation. If there is no truncation, there is no need for dither. --scott -- "C'est un Nagra. C'est suisse, et tres, tres precis." |
#8
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On May 20, 8:07 am, (Scott Dorsey) wrote:
WillStG wrote: But - could dither make the artifacts down at the bottom of a 16 bit file less irritating? Correct me if I'm wrong, but doesn't dither not actually remove truncation distortion, but just make the artifacts less irritating by tricking the ear with broadband noise? Of course there is no bit reduction truncation here, but there are still probably artifacts. Here we go again... NO. Dither actually removes truncation distortion if it's performed properly along with the truncation. If there is no truncation, there is no need for dither. --scott -- "C'est un Nagra. C'est suisse, et tres, tres precis." Not looking to argue Scott. I certainly in practice, true to orthodoxy only use dither when truncating. But how does dither actually remove truncation distortion - is this mathematics? And why would it not be useful in the case of quantization error as well? The RAP faq doesn't exactly explain it. Will Miho NY TV/Audio Post/Music/Live Sound Guy "The large print giveth and the small print taketh away..." Tom Waits |
#9
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WillStG wrote:
Not looking to argue Scott. I certainly in practice, true to orthodoxy only use dither when truncating. But how does dither actually remove truncation distortion - is this mathematics? And why would it not be useful in the case of quantization error as well? The RAP faq doesn't exactly explain it. It _is_ mathematics and what it does is basically make the quantization error random. So you get linearity well below the noise floor, in exchange for a little bit more noise. I don't have a good intuitive explanation for it, but as I recall Bob Katz's book on mastering does. --scott -- "C'est un Nagra. C'est suisse, et tres, tres precis." |
#10
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On May 20, 10:18 am, (Scott Dorsey) wrote:
WillStG wrote: Not looking to argue Scott. I certainly in practice, true to orthodoxy only use dither when truncating. But how does dither actually remove truncation distortion - is this mathematics? And why would it not be useful in the case of quantization error as well? The RAP faq doesn't exactly explain it. It _is_ mathematics and what it does is basically make the quantization error random. So you get linearity well below the noise floor, in exchange for a little bit more noise. Ok, but an ADC also produces quantizing errors when converting to digital in the first place, no? So why would dither be effective on quantizng errors in the one case but not the other? Are they apples to oranges in terms of what kind of errors they actually are? Is the term "quantization errors" a too broad and perhaps overly used term? Will Miho NY TV/Audio Post/Music/Live Sound Guy "The large print giveth and the small print taketh away..." Tom Waits |
#11
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On Wed, 20 May 2009 06:56:08 -0700, WillStG wrote:
But how does dither actually remove truncation distortion - is this mathematics? And why would it not be useful in the case of quantization error as well? The RAP faq doesn't exactly explain it. I'll have a go: When quantizing from an analog signal, or when truncating from more to fewer bits, the key in both processes is that there is useful information in the signal below the level at which you are quantizing. That information is incorporated in the dither process. Suppose you have an actual signal that is somewhere between two digital value n and n + 1. Without dither, that will simply be represented as either n or n + 1. With dither, it will be represented as randomly either n or n + 1, but more frequently one or the other in proportion to which value the real input it closest to, so if you had an unchanging input and averaged many dithered values they'd average out to the exact input value. Mathematical analysis can show that this is equivalent to a precise indication of the input (to a higher precision than implied by just the number of bits), plus random noise. -- Anahata ==//== 01638 720444 http://www.treewind.co.uk ==//== http://www.myspace.com/maryanahata |
#12
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WillStG wrote:
Ok, but an ADC also produces quantizing errors when converting to digital in the first place, no? Right, because there is always noise in digital circuits. So your ladder that is supposed to trigger at a particular voltage doesn't always trigger at precisely the right voltage. So you get noise. So why would dither be effective on quantizng errors in the one case but not the other? Are they apples to oranges in terms of what kind of errors they actually are? Dither doesn't remove quantizing errors, it just makes them more random. This gives you better linearity, but it doesn't do anything about noise issues. Since what you need is linearity, it's a huge benefit. Is the term "quantization errors" a too broad and perhaps overly used term? It is a very broad term, yes. --scott -- "C'est un Nagra. C'est suisse, et tres, tres precis." |
#13
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"WillStG" wrote in message
Ok, but an ADC also produces quantizing errors when converting to digital in the first place, no? Yes. So why would dither be effective on quantizng errors in the one case but not the other? Dither must be part of the quantization process to be effective. It can be applied before or during the quantization process. Are they apples to oranges in terms of what kind of errors they actually are? Is the term "quantization errors" a too broad and perhaps overly used term? Quantization is pretty much a unique, well-understood thing. |
#14
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On May 20, 11:43 am, (Scott Dorsey) wrote:
WillStG wrote: Ok, but an ADC also produces quantizing errors when converting to digital in the first place, no? Right, because there is always noise in digital circuits. So your ladder that is supposed to trigger at a particular voltage doesn't always trigger at precisely the right voltage. So you get noise. So dither _is_ useful during Analog to digital conversion? So why would dither be effective on quantizng errors in the one case but not the other? Are they apples to oranges in terms of what kind of errors they actually are? Dither doesn't remove quantizing errors, it just makes them more random. This gives you better linearity, but it doesn't do anything about noise issues. Since what you need is linearity, it's a huge benefit. Ok. So you can apply dither when recording, because the analog signal contains information that, after being randomized by dither along with the noise, can still be perceived and measured because of "averaging", and also during truncation, because there is also audio information below the top 16 bits to represent in the randomizing scheme? But in an existing undithered file, the greater information that could have been included due to the averaging effect dither provides has already been lost, and in it's place bit toggling distortion has already been recorded. And the noise of dither isn't just a mask for distortion that exists, it prevents distortion by randomizing. Is this a correct explanation? The averaging effects of dither is explained in the RAP faq, but an overall explanation is not, so you can't just say "read the FAQ". And around here most guys just get grumpy when someone asks for a simple explanation... Will Miho NY TV/Audio Post/music/Live Sound Guy "The large print giveth and the small print taketh away..." Tom Waits |
#15
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On Wed, 20 May 2009 14:03:46 -0700 (PDT), WillStG
wrote: Ok. So you can apply dither when recording, because the analog signal contains information that, after being randomized by dither along with the noise, can still be perceived and measured because of "averaging", and also during truncation, because there is also audio information below the top 16 bits to represent in the randomizing scheme? Is this a correct explanation? The averaging effects of dither is explained in the RAP faq, but an overall explanation is not, The effect of dither to a (bandlimited, sampled) signal is to allow an (ideally) *perfect* reproduction, the output (ideally) *exactly* like the original - plus a small noise, the dither itself. Our ability to possibly hear below the noise background is from the same mechanism that allows us to possibly hear below any noise background, hearing in frequency bands. Much thanks, as always, Chris Hornbeck |
#16
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Let me try...
Quantizing errors from A/D conversion are actually a distortion - the digitized waveform has harmonically related signals not in the original analog signal. Think of a low level sine wave that only makes one step move in the A/D converter, and make the step at the sine wave's zero crossing. The digital output is a square wave. If you add noise, the place where the A/D converter sees the sine wave "cross zero" is different at each (half) cycle, and is random around that crossing. The output will still be one step going on and off, but the timing will on average make up a sine wave. Thus adding noise before the A/D conversion (or before a bit reduction) decorrelates these distortion products. They're still part of the signal, but they're scattered around at all frequencies as a slightly added noise to the dither noise. Tape head AC bias is an inexact and crude but useful analogy to dither. Bias added during magnetic tape recording makes for playback of a linear signal, but a recording made without bias has distortion that cannot be fixed. I've posted this article before, hope it helps: http://www.national.com/an/AN/AN-804.pdf |
#17
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On Wed, 20 May 2009 20:38:21 -0400, Ben Bradley
wrote: Thus adding noise before the A/D conversion (or before a bit reduction) decorrelates these distortion products. They're still part of the signal, but they're scattered around at all frequencies as a slightly added noise to the dither noise. This is probably as good as an explanation gets. It includes the idea that the rounding errors don't just magically disappear, but are randomized (another word for noise), and the deeper idea that the errors become part of the background noise, which is harder to grasp (well, impossible in for my pea brain. Fun to try, though). Much thanks, as always, Chris Hornbeck |
#18
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On May 20, 8:38 pm, Ben Bradley wrote:
Let me try... Quantizing errors from A/D conversion are actually a distortion - the digitized waveform has harmonically related signals not in the original analog signal. Think of a low level sine wave that only makes one step move in the A/D converter, and make the step at the sine wave's zero crossing. The digital output is a square wave. If you add noise, the place where the A/D converter sees the sine wave "cross zero" is different at each (half) cycle, and is random around that crossing. The output will still be one step going on and off, but the timing will on average make up a sine wave. Thus adding noise before the A/D conversion (or before a bit reduction) decorrelates these distortion products. They're still part of the signal, but they're scattered around at all frequencies as a slightly added noise to the dither noise. Tape head AC bias is an inexact and crude but useful analogy to dither. Bias added during magnetic tape recording makes for playback of a linear signal, but a recording made without bias has distortion that cannot be fixed. I've posted this article before, hope it helps:http://www.national.com/an/AN/AN-804.pdf Thanks Ben, your explanation's pretty clear, without dither quantization errors are outputted as square wave distortion during ADC and bit reduction, with dither the errors are randomized enough to prevent square wave output. Also this preserves enough of the original signal to make it perceptable and measurable, even as the signal disappears below the noise floor. What is unclear is why dither is provided as an "option" at all. Do all ADC's, such as those in DAT machines and CDR recorders, and digital mixer summing busses include it as part of "normal"encoding? And if one's DAW software has global dither options selected - as part of it's internal digital mixer - is it still neccessary to add dither plugins during bit reducing processing? Conversely if one doesn't have global dither selected in one's DAW, will it dither anyway or will you have to use a plugin to prevent distortion on your mix output? The Waves plugs offer several dither options in their L1/L2/L3 Maximizer's, how redundant is that - aren't most Waves plugins dithering their output anyway? And I have read Apogee's explanation of UV22 a few times, but why they provide 2 levels of dither is unclear - why wouldn't one always use the least amount of noise possible to prevent distortion? g Will Miho NY TV/Audio Post/Music/Live Sound Guy "The large print giveth and the small print taketh away..." Tom Waits |
#19
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![]() "anahata" wrote in message o.uk... On Wed, 20 May 2009 06:56:08 -0700, WillStG wrote: But how does dither actually remove truncation distortion - is this mathematics? And why would it not be useful in the case of quantization error as well? The RAP faq doesn't exactly explain it. I'll have a go: When quantizing from an analog signal, or when truncating from more to fewer bits, the key in both processes is that there is useful information in the signal below the level at which you are quantizing. That information is incorporated in the dither process. Suppose you have an actual signal that is somewhere between two digital value n and n + 1. Without dither, that will simply be represented as either n or n + 1. With dither, it will be represented as randomly either n or n + 1, but more frequently one or the other in proportion to which value the real input it closest to, so if you had an unchanging input and averaged many dithered values they'd average out to the exact input value. Mathematical analysis can show that this is equivalent to a precise indication of the input (to a higher precision than implied by just the number of bits), plus random noise. -- Anahata ==//== 01638 720444 http://www.treewind.co.uk ==//== http://www.myspace.com/maryanahata I am still coming to grips with this so how does this sound :- Dithering creates a digital value for a signal that would normally be below the quantizing level i.e. the bit rate is too coarse to asign a value to this low level but valuable signal. Dithering asigns a value to this signal that is retained as the bit rate is lowered for normal processing. It was mentioned previously that the bias signal applied to tapes to 'excite' the particles is an analogue to this. Perhaps a carrier wave of a broadcast signal is another and I know that the ear produces its own emissions http://www.mja.com.au/public/issues/...d/redhead.html as otoacoustic emissions. Perhaps nature has beaten us to the idea! Keith. |
#20
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"Chris Hornbeck" wrote in
message On Wed, 20 May 2009 14:03:46 -0700 (PDT), WillStG wrote: Ok. So you can apply dither when recording, because the analog signal contains information that, after being randomized by dither along with the noise, can still be perceived and measured because of "averaging", and also during truncation, because there is also audio information below the top 16 bits to represent in the randomizing scheme? Yes. The general rule is dither whenever quantizing or re-quantizing. Is this a correct explanation? The averaging effects of dither is explained in the RAP faq, but an overall explanation is not, It's not an averaging effect, it is a randomizing effect. Quantization noise is not really a noise - it is more properly called a nonlinear distortion. Quantization distortion is determined by the signal being converted and the sample rate. So for example, if you quantize a steady pure tone, the quantization distortion will manifest itself as one or more additional steady pure tones. Since these tones created by the quantization distortion are steady and pure, they are relatively easy to hear. The function of the dither follows the same pattern. Think of the dither noise as being a collection of randomly-varying tones. Just like the signal, the quantization distortion will be generated that is a different collection of randomly-varying tones. Since the distoriton is randomly-varying and complex, it is less noticable and generally less objectionable. The effect of dither to a (bandlimited, sampled) signal is to allow an (ideally) *perfect* reproduction, the output (ideally) *exactly* like the original - plus a small noise, the dither itself. Not quite. While dither increases the noise floor when applied, it is also transformed by the quantization process. So the added noise is not the same as the dither, but instead the rise in background noise is a predictable, transformed version of the dither. Our ability to possibly hear below the noise background is from the same mechanism that allows us to possibly hear below any noise background, hearing in frequency bands. You probably meant: Our ability to possibly hear below the noise background due to the dither is from the same mechanism that allows us to possibly hear below any noise background, hearing in frequency bands. |
#21
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"Ben Bradley" wrote in message
Tape head AC bias is an inexact and crude but useful analogy to dither. Bias added during magnetic tape recording makes for playback of a linear signal, but a recording made without bias has distortion that cannot be fixed. Good point. It turns out that if you replace dither with a very high frequency tone, it will have many of the same benefits. |
#22
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On May 21, 6:40 am, "Arny Krueger" wrote:
"Chris Hornbeck" wrote in messagenews:60t815t047rqisd5r85il98d4fllruk1q1@4ax .com On Wed, 20 May 2009 14:03:46 -0700 (PDT), WillStG wrote: Ok. So you can apply dither when recording, because the analog signal contains information that, after being randomized by dither along with the noise, can still be perceived and measured because of "averaging", and also during truncation, because there is also audio information below the top 16 bits to represent in the randomizing scheme? Yes. The general rule is dither whenever quantizing or re-quantizing. Is this a correct explanation? The averaging effects of dither is explained in the RAP faq, but an overall explanation is not, It's not an averaging effect, it is a randomizing effect. heh heh - read the FAQ Arny.... Will Miho NY TV/Audio Post/Music/Live Sound Guy "The large print giveth and the small print taketh away..." Tom Waits |
#23
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"WillStG" wrote in message
On May 21, 6:40 am, "Arny Krueger" wrote: "Chris Hornbeck" wrote in messagenews:60t815t047rqisd5r85il98d4fllruk1q1@4ax .com On Wed, 20 May 2009 14:03:46 -0700 (PDT), WillStG wrote: Ok. So you can apply dither when recording, because the analog signal contains information that, after being randomized by dither along with the noise, can still be perceived and measured because of "averaging", and also during truncation, because there is also audio information below the top 16 bits to represent in the randomizing scheme? Yes. The general rule is dither whenever quantizing or re-quantizing. Is this a correct explanation? The averaging effects of dither is explained in the RAP faq, but an overall explanation is not, It's not an averaging effect, it is a randomizing effect. heh heh - read the FAQ Arny.... Been there, done that. Here's where it talks about dithering and averaging: "However, if we look at (or listen to) much more than a single sample, through the process of averaging, both instruments and the ear are capable of detecting real signals below the noise floor. Let's look at the simple case of a constant voltage that is 1/10th the value of the noise floor. At the instantaneous or sample point, the noise value overwhelms the signal completely. But, as we collect more consecutive snapshots or samples, an interesting thing begins to happen. The noise (or dither) is random and its long-term average is, in fact, 0. But the signal has a definite value, 1/10. Average the signal long enough, and the average value due to the noise approaches 0, but the average value of the signal remains constant at 1/10." Note that the averaging that is mentioned here is done by the human ear, not the dithering. The human ear averages, not the dither. It's an important distinction. Dither doesn't have an averaging effect on the signal. It exploits the averaging that is done by the human ear. |
#24
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On May 21, 8:16 am, "Arny Krueger" wrote:
"WillStG" wrote in message On May 21, 6:40 am, "Arny Krueger" wrote: "Chris Hornbeck" wrote in messagenews:60t815t047rqisd5r85il98d4fllruk1q1@4ax .com On Wed, 20 May 2009 14:03:46 -0700 (PDT), WillStG wrote: Ok. So you can apply dither when recording, because the analog signal contains information that, after being randomized by dither along with the noise, can still be perceived and measured because of "averaging", and also during truncation, because there is also audio information below the top 16 bits to represent in the randomizing scheme? Yes. The general rule is dither whenever quantizing or re-quantizing. Is this a correct explanation? The averaging effects of dither is explained in the RAP faq, but an overall explanation is not, It's not an averaging effect, it is a randomizing effect. heh heh - read the FAQ Arny.... Been there, done that. Here's where it talks about dithering and averaging: "However, if we look at (or listen to) much more than a single sample, through the process of averaging, both instruments and the ear are capable of detecting real signals below the noise floor. Let's look at the simple case of a constant voltage that is 1/10th the value of the noise floor. At the instantaneous or sample point, the noise value overwhelms the signal completely. But, as we collect more consecutive snapshots or samples, an interesting thing begins to happen. The noise (or dither) is random and its long-term average is, in fact, 0. But the signal has a definite value, 1/10. Average the signal long enough, and the average value due to the noise approaches 0, but the average value of the signal remains constant at 1/10." Note that the averaging that is mentioned here is done by the human ear, not the dithering. The human ear averages, not the dither. It's an important distinction. Dither doesn't have an averaging effect on the signal. It exploits the averaging that is done by the human ear. Well don't leave people with the impression that it's a psychoacoustic trick of the human ear. Averaging also makes the dithered signal measurable, it's not just the ear that can perceive the infromation that "averaging" preserves. Will Miho NY TV/Audio Post/Music/Live Sound Guy "The large print giveth and the small print taketh away..." Tom Waits |
#25
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On Thu, 21 May 2009 06:40:22 -0400, "Arny Krueger"
wrote: The effect of dither to a (bandlimited, sampled) signal is to allow an (ideally) *perfect* reproduction, the output (ideally) *exactly* like the original - plus a small noise, the dither itself. Not quite. While dither increases the noise floor when applied, it is also transformed by the quantization process. So the added noise is not the same as the dither, but instead the rise in background noise is a predictable, transformed version of the dither. And to be really complete, we'll also have to include the (otherwise mysteriously missing) quantization errors in the background noise. They and the dither "signal" get mashed up together and spread across time in ways of which Doctor McCoy would have never approved. ("He's dead, Jim.") You probably meant: Our ability to possibly hear below the noise background due to the dither is from the same mechanism that allows us to possibly hear below any noise background, hearing in frequency bands. Much cleaner, thanks. Others can have differing opinions (they're simply WRONG, but that's free will...) but for me, there's no cooler idea in any technical field than dither. It's snot slick and deeper than whale ****. Much thanks, as always, Chris Hornbeck |
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