<div dir="ltr"><div class="gmail_extra"><div class="gmail_quote">On Fri, Dec 6, 2013 at 12:29 PM, lucrecio diaz <span dir="ltr"><<a href="mailto:lucrecio.dias@gmail.com" target="_blank">lucrecio.dias@gmail.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">Hi, im new with pd, i working on a project where i need to sonify data<br>
as a waveform.<br></blockquote><div><br></div><div>Welcome to pd, Lucrecio--some questions: what's the data, and what features of the data are being mapped into sounds?<br></div><div> </div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
Then I need to measure each set of data using a 1/f function .<br></blockquote><div><br></div><div>If you're synthesizing the sounds, you should be able to predict the 1/f characteristic. What's the meaning of extracting the (1/f) exponent?<br>
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1/f noise its a famous distribution found in diverse areas.<br>
The 1/f function measures the difference in the slope of the line of<br>
closest fit to the data and the hypothesized 1/f curve of that data.<br></blockquote><div><br></div><div>I'm familiar with Stochastic Analysis--Can you share the formulas or link to a reference that has them?<br></div>
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I would like to know if pd is a good option for building this function<br>
for evaluating data?<br></blockquote><div><br></div><div>It's generally good for any type of numerical problem on signals. Even if you're unable to create an implementation with existing classes, you can write your own perform routines in C.<br>
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or maybe theres already a plug in? or library for making this?<br>
<br>
where to start ? any hint?<br></blockquote><div><br></div><div> Some years ago, the pd-list had some posts about (1/f) noise synthesis, rather than analysis. Search the archives: <a href="http://lists.puredata.info/pipermail/pd-list/">http://lists.puredata.info/pipermail/pd-list/</a><br>
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