similar to: Re: [R] Postscript query: plotting long vectors (PR#3132)

Don MacQueen <macq@llnl.gov> writes: > When I run the example in R 1.6.2, and view it with gs, I get a good plot. > When I run the example in R 1.7.0, and view it with gs, I get a bad plot. > (run on the same host) > > My "bad plot" is as described by Stephen. ... > (followed by ~200000 lines of the same type, with slowly changing values) > > In the

Hi, I have a query about the maximum length of vector that can be plotted in one go in a postscript driver. Try the following code (in 1.7.0; version details below): t <- seq(from=0, to=4*pi, length=200000) y <- sin(t) postscript(file="o.ps") plot(t, y, type="l") dev.off() If I view the postscript file o.ps in "gv", it takes many seconds before eventually

Hi. I have been talking with Psytel MPEG-4 AAC developer (www.psytel.com) about various compression formats, and to make it short he said that one of the main drawbacks of Vorbis is its vector quantization - it introduces more error then other quantization methods (like non-uniform scalar quantization, if I got it right), probably used in AAC and other similar codecs. I know vector quantization

Comments? ---------------------------------------- "Mark Taylor" <mt@sulaco.org> wrote: [...] > This is related to one minor objection I have to vector quantization > based codecs like Vorbis and the MPEG4 VQ codec: they do not compute > the quantization noise during the encoding process. The choice of > codebooks (use a big codebook: low quantization noise, use a

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Dear Celts, I've become intrigued by the problem of spherical quantizers, so I decided to see if I could come up with something better than PVQ. What I wound up writing is something I call an "octagon quantizer. In two dimensions, PVQ uses a "diamond" (square) shape. An octagon code (OVQ) uses an octagon, which is a much better

Hello! I'm an Italian student in computer engineering (University "Federico II" of Naples) and I have to write my graduation thesis in the field of signal processing. My teacher (Prof. Giovanni Poggi http://www.diet.unina.it/giovanni.poggi/) has published a research about multiple description vector quantizers by means of the self organizing maps, applying his idea to the images and

Hi, Check it out-- another update in the space of a week: http://home.pcisys.net/~melanson/codecs/vp3-format.txt v0.4: March 2, 2004 - renamed and expanded section "Initializing The Quantization Matrices" - outlined section "Reconstructing The Frame" - moved Theora Differences Appendix to its own section entitled "Theora Specification" - added Appendix:

Hi, I am using speex 1.2beta2 on a 24bit DSP that has a severe program and data space limitations. I am only interested in the speex decoder for 11kbps narrowband implementation. I am using the following parameters and structures 160, /*frameSize*/ 40, /*subframeSize*/ 10, /*lpcSize*/ 17, /*pitchStart*/ 144, /*pitchEnd*/ /* 11 kbps medium bit-rate

I have some data measured with a coarsely-quantized clock. Let's say the real data are q<- sort(rexp(100,.5)) The quantized form is floor(q), so a simple quantile plot of one against the other can be calculated using: plot(q,type="l"); points(floor(q),col="red") which of course shows the characteristic stair-step. I would like to smooth the quantized

Hello, I have finally added 2 lower quality settings for the NHW codec: -l1 (-5Ko) and -l2 (-10Ko).I use a quantization of 0.935 and 0.88 (kind of quantization), and I decrease residual coding on the first order wavelet image. I have updated the demo page: http://nhwcodec.blogspot.com/ . These 2 lower quality settings are still experimental.If you could find time, would be interested in any

We are pleased to announce a new stable release of libtheora, the Xiph.org Foundation's reference implementation of the royalty-free Theora video format. This new release, version 1.1, codenamed Thusnelda, incorporates all of the recent encoder improvements we have been making over the past year, though some of the code had its genesis all the way back in 2003. It also brings substantial speed

We are pleased to announce a new stable release of libtheora, the Xiph.org Foundation's reference implementation of the royalty-free Theora video format. This new release, version 1.1, codenamed Thusnelda, incorporates all of the recent encoder improvements we have been making over the past year, though some of the code had its genesis all the way back in 2003. It also brings substantial speed

Hi I am a student and working on Speech Coding and Speex. I just want to know where to get the document describing subvector quantization of innovation. Is there any document which can help me know how C code works or any paper exactly explainin the idea? regards Faisal __________________________________ Do you Yahoo!? Friends. Fun. Try the all-new Yahoo! Messenger.

I have read FLAC's "--help", the man-page, and the HTML documentaion, but there are a few things that I don't understand. 1. I'll start with the thing I'm most confused about. The --best option is synonymous with -l 12 -b 4608 -m -e -r 6. Why is that? Is not -l 32 better that l- 12? And you can have -r 0,8 without using --lax, and -r 0,16 with --lax. 2. The --lax option

Hello, Just a very quick message to let you know that I have added a higher quality setting (-h2, +10Ko) and I have added now residual coding on the 512x256 wavelet image for the higher settings.Precision is a little better.-I also still apply the post-processing function on the 512x256 wavelet image for now.- Here is the link for the binaries (as I can not link them in my blog for now):

(Disclaimer: this is not an LPC vs. LSP question) After looking at the Vorbis code I was wondering why you were using LSP to quantize the spectral envelope instead of simply quantizing the cepstrum (DCT(log(envelope))) or modified cepstrum (DCT(envelope.^alpha)). To me it seems like when the information is already in the frequency domain, there's no need to go back to LPC. Also, I think a DCT

Hi, I have any Questions for data reduction. How is the data reduction reached, with Vorbis? ? Does the data reduction depend on the quantization noise, like MP3? ? ?Which data are then actually stored? ? Best greetings ? -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hello everyone, I'm currently developing an adaptive videoconferencing application based on Ekiga which uses TFRC as a congestion control mechanism to adapt the video encoding rate according to the quality of the network experienced. My goal was to use the open-source Theora codec for video transmission. Unfortunately, it seemed that Theora 1.0 did not properly implement any correct CBR mode.

I think this might be telling us that reg-plot.ps.save needs to be updated for the new version of postscript(). comparing 'reg-plot.ps' to '../../source/tests/reg-plot.ps.save' ...100c100 < 663.53 0 l --- > 663.53 -0.00 l 104c104 < 0 -7.20 l --- > -0.00 -7.20 l -Don -- -------------------------------------- Don MacQueen Environmental Protection Department Lawrence

Hello, I wanted to know if there was way to convert a histogram of a data-set to a kernel density estimate directly in R ? Specifically, I have a histogram [bins, counts] of samples {X1 ... XN} of a quantized variable X where there is one bin for each level of X, and I'ld like to directly get a kde estimate of the pdf of X from the histogram. Therefore, there is no additional quantization of