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From: Chris Cannam <cannam@al...>  20110321 10:58:54

On 21 March 2011 01:37, larky <larky111@...> wrote: > > I've got an email (attached to this one but it looks like my request has not been reviewed or approved approved yet. > > Why do I have to wait so much time for my resquest to be > reviewed or approved? Hi  I'm sorry about this, the problem is the common one of distinguishing between legitimate registrations and spam registrations, which outnumber the legitimate ones by at least one order of magnitude. In order to avoid spammers on the forum, all registrations have to be approved by a moderator; I'm afraid it can sometimes take a while for them to be processed, and occasionally legitimate applications are rejected. I can only surmise that that's what has happened with yours, and I apologise for that. If you register again, I'll keep an eye open for your registration. Chris 
From: larky <larky111@ya...>  20110321 01:37:39

From: larky <larky111@ya...>  20110319 23:14:53

Thank you for your explanations, Richard and Mark.Best regards  Message: 6 Date: Sat, 19 Mar 2011 03:54:08 0700 (PDT) From: larky <larky111@...> Subject: [Sv1devel] What is the definition of "bin" in Sonic Visualiser? To: sv1devel@... MessageID: <771477.93724.qm@...> ContentType: text/plain; charset="iso88591" I have a question:What is the definition of a "bin" in Sonic Visualiser?I just started studying?Sonic Visualiser and couldn't figure out what it exactly means.ThanksBest regards  next part  An HTML attachment was scrubbed...  Message: 7 Date: Sat, 19 Mar 2011 15:41:02 +0000 From: Mark Dammer <clunymark@...> Subject: Re: [Sv1devel] What is the definition of "bin" in Sonic Visualiser? To: sv1devel@... MessageID: <4D84CE8E.7090607@...> ContentType: text/plain; charset="iso88591" The term "bin" is a common term used in spectral analysis. "Binning" is neccessary as there is a theoretically infinite number of discrete frequencies in the range you want to analyse. This problem is solved by dividing the whole range in bins  Every bin represents a small range of the spectrum with all the frequencies in that range put in the same bin. The more bins a spectral analysis has, the more accurate it is, but you will need more calculations (more CPU time) to compute the spectrum. I hope this helps, Mark On 19/03/11 10:54, larky wrote: > I have a question: > What is the definition of a "bin" in Sonic Visualiser? > I just started studying Sonic Visualiser and couldn't figure out what > it exactly means. > Thanks > Best regards > > > >  > Colocation vs. Managed Hosting > A question and answer guide to determining the best fit > for your organization  today and in the future. > http://p.sf.net/sfu/internapsfd2d > > > _______________________________________________ > Sv1devel mailing list > Sv1devel@... > https://lists.sourceforge.net/lists/listinfo/sv1devel  next part  An HTML attachment was scrubbed...  Message: 8 Date: Sat, 19 Mar 2011 18:41:11 +0000 From: Richard Dobson <richarddobson@...> Subject: Re: [Sv1devel] What is the definition of "bin" in Sonic Visualiser? To: sv1devel@... MessageID: <4D84F8C7.7020003@...> ContentType: text/plain; charset=ISO88591; format=flowed On 19/03/2011 15:41, Mark Dammer wrote: > The term "bin" is a common term used in spectral analysis. "Binning" is > neccessary as there is a theoretically infinite number of discrete > frequencies in the range you want to analyse. This problem is solved by > dividing the whole range in bins  Every bin represents a small range of > the spectrum with all the frequencies in that range put in the same bin. > The more bins a spectral analysis has, the more accurate it is, but you > will need more calculations (more CPU time) to compute the spectrum. > > I hope this helps, Mark > > On 19/03/11 10:54, larky wrote: >> I have a question: >> What is the definition of a "bin" in Sonic Visualiser? >> I just started studying Sonic Visualiser and couldn't figure out what >> it exactly means. The FFT (as used in SV) transforms sampled timedomain data into a sampled spectrum, comprising, say, a series of amplitude and phase pairs covering the linear range from DC to Nyquist. Each of these pairs is generally referred to as a "bin". Each bin has an associated centre frequency bandwidth, which in essence leads to close components in the source being represented within a single bin. The linear spacing is not always wanted (but is what comes out of the vanilla FFT); we would often prefer something like a "constQ" or log distribution of bins (i.e., equalinterval rather than equal frequency spacing). How many bins there are in an analysis frame (and hence their resolution) is determined by the size of the window used (number of samples analysed for a given frame); as both CD and Nyquist is represented, you get N/2 + 1 bins in the usual way of things  e.g a 1024sample window results in 513 bins. further procedures may be invoked to convert this raw analysis frame into whatever is needed  a logfrequency scale, MFCC coefficients, peaktracking, etc. Thus the binning arrangement is in the general case not so much something chosen as the solution to a problem, but the outcome of FFT analysis that we are largely stuck with, and would very much like, sometimes, to be arranged differently. Hence the use of alternative methods such as wavelet analysis. Google "FFT + bins" to find a host of more detailed discussions. Richard Dobson   Colocation vs. Managed Hosting A question and answer guide to determining the best fit for your organization  today and in the future. http://p.sf.net/sfu/internapsfd2d  _______________________________________________ Sv1devel mailing list Sv1devel@... https://lists.sourceforge.net/lists/listinfo/sv1devel End of Sv1devel Digest, Vol 42, Issue 1 **************************************** 
From: Richard Dobson <richarddobson@bl...>  20110319 18:39:57

On 19/03/2011 15:41, Mark Dammer wrote: > The term "bin" is a common term used in spectral analysis. "Binning" is > neccessary as there is a theoretically infinite number of discrete > frequencies in the range you want to analyse. This problem is solved by > dividing the whole range in bins  Every bin represents a small range of > the spectrum with all the frequencies in that range put in the same bin. > The more bins a spectral analysis has, the more accurate it is, but you > will need more calculations (more CPU time) to compute the spectrum. > > I hope this helps, Mark > > On 19/03/11 10:54, larky wrote: >> I have a question: >> What is the definition of a "bin" in Sonic Visualiser? >> I just started studying Sonic Visualiser and couldn't figure out what >> it exactly means. The FFT (as used in SV) transforms sampled timedomain data into a sampled spectrum, comprising, say, a series of amplitude and phase pairs covering the linear range from DC to Nyquist. Each of these pairs is generally referred to as a "bin". Each bin has an associated centre frequency bandwidth, which in essence leads to close components in the source being represented within a single bin. The linear spacing is not always wanted (but is what comes out of the vanilla FFT); we would often prefer something like a "constQ" or log distribution of bins (i.e., equalinterval rather than equal frequency spacing). How many bins there are in an analysis frame (and hence their resolution) is determined by the size of the window used (number of samples analysed for a given frame); as both CD and Nyquist is represented, you get N/2 + 1 bins in the usual way of things  e.g a 1024sample window results in 513 bins. further procedures may be invoked to convert this raw analysis frame into whatever is needed  a logfrequency scale, MFCC coefficients, peaktracking, etc. Thus the binning arrangement is in the general case not so much something chosen as the solution to a problem, but the outcome of FFT analysis that we are largely stuck with, and would very much like, sometimes, to be arranged differently. Hence the use of alternative methods such as wavelet analysis. Google "FFT + bins" to find a host of more detailed discussions. Richard Dobson 
From: Mark Dammer <clunymark@ya...>  20110319 15:41:13

The term "bin" is a common term used in spectral analysis. "Binning" is neccessary as there is a theoretically infinite number of discrete frequencies in the range you want to analyse. This problem is solved by dividing the whole range in bins  Every bin represents a small range of the spectrum with all the frequencies in that range put in the same bin. The more bins a spectral analysis has, the more accurate it is, but you will need more calculations (more CPU time) to compute the spectrum. I hope this helps, Mark On 19/03/11 10:54, larky wrote: > I have a question: > What is the definition of a "bin" in Sonic Visualiser? > I just started studying Sonic Visualiser and couldn't figure out what > it exactly means. > Thanks > Best regards > > > >  > Colocation vs. Managed Hosting > A question and answer guide to determining the best fit > for your organization  today and in the future. > http://p.sf.net/sfu/internapsfd2d > > > _______________________________________________ > Sv1devel mailing list > Sv1devel@... > https://lists.sourceforge.net/lists/listinfo/sv1devel 
From: larky <larky111@ya...>  20110319 10:54:16

I have a question:What is the definition of a "bin" in Sonic Visualiser?I just started studying Sonic Visualiser and couldn't figure out what it exactly means.ThanksBest regards 