Hello  - This discussion reminded me of something I have been curious about - 
has  anyone has seen the techniques described in this paper being used in real 
world with audio ?

http://arxiv.org/pdf/0902.0026.pdf
@MISC{Tropp09beyondnyquist:,
    author = {Joel A. Tropp and Jason N. Laska and Marco F. Duarte and Justin 
K. Romberg and Richard G. Baraniuk},
    title = { Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals},
    year = {2009}
}

Apparently related approaches are being used with single pixel cameras. 

> Message: 3
> Date: Thu, 27 Mar 2014 00:33:08 -0400
> From: Doug Houghton <doug_hough...@sympatico.ca>
> To: "A discussion list for music-related DSP"
>       <music-dsp@music.columbia.edu>
> Subject: Re: [music-dsp] Nyquist??"Shannon sampling theorem
> Message-ID: <blu0-smtp55a662ba3f5bf784f51648ff...@phx.gbl>
> Content-Type: text/plain; charset="iso-8859-1"; Format="flowed"
> 
> consider this from a wiki page
> 
> "A bandlimited signal can be fully reconstructed from its samples, provided 
> that the sampling rate exceeds twice the maximum frequency in the 
> bandlimited signal. This minimum sampling frequency is called the Nyquist 
> rate. This result, usually attributed to Nyquist and Shannon, is known as 
> the Nyquist-Shannon sampling theorem.
> 
> An example of a simple deterministic bandlimited signal is a sinusoid of the 
> form . If this signal is sampled at a rate  so that we have the samples , 
> for all integers , we can recover  completely from these samples. Similarly, 
> sums of sinusoids with different frequencies and phases are also bandlimited 
> to the highest of their frequencies."
> 
> 
> 
> The example may imply that the "bandlimited signal" to satisfy the theory is 
> at it's most a complex sum of various sinusoids at different frequencies 
> phases, amplitudes.
> 
> 
> 
> 
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