Given that you know how many sinusoids there are (let it be 5) and that
they're clean and well-sampled, most of the time you need only 15 samples
to determine each of them (one sample for each unknown parameter, that is)
with certainty up to polarities and 2pi phase shifts. It's affected by
limited
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Charles Z Henry wrote:
What I mean is that the interpolation of DFT values gives you values
at the in-between frequencies.
You have to be careful about presumptions of the kind in the main theory
to begin with. *if* you sampled properly, *and* either it is given you
have certain sinusoid
>
> You have to be careful about presumptions of the kind in the main theory
> to begin with. *if* you sampled properly, *and* either it is given you have
> certain sinusoidal components, or your sample row and analysis length is
> long enough (probably seconds for high q audio), there's only one c
On Tue, Mar 11, 2014 at 5:52 PM, robert bristow-johnson
wrote:
> On 3/11/14 5:18 PM, Charles Z Henry wrote:
> ...
>
>> Information from every non-harmonic frequency is not lost: it is
>> simply distributed into every harmonic frequency. The task is then to
>> recover the frequency amplitude and p
On 2014-03-12, Emanuel Landeholm wrote:
The intepolation filter only needs to be infinitely long if you need
infinite precision. In practice, any dsp filter is windowed to a
finite length. There is a relationship between the length of the
window and the uncertainty of the frequency.
Yes. And
On 3/11/14 5:18 PM, Charles Z Henry wrote:
...
Information from every non-harmonic frequency is not lost: it is
simply distributed into every harmonic frequency. The task is then to
recover the frequency amplitude and phase of a series of sinusoids
that best-fit the data. Good news: it's just a
On Tue, Mar 11, 2014 at 12:11 PM, Theo Verelst wrote:
>
>
> In this time where DSP and FFTs are become cheaper and cheaper per operation,
> I think it is interesting to know what is reasonable to expect from a sampled
> (digital) signal processing operator w.r.t. a familiar and often important
> In the mathematical sense, we could take a Fourier Integral of these
signals neatly added together, > and the outcome would be 3 "spikes" at the
respective frequencies, with the proper amplitude.
No, you get *6* spikes, since these are real-valued signals. So there are
components at both the pos
On 3/11/14 1:11 PM, Theo Verelst wrote:
I suppose I'm pleading for a bit more clearness about what various
types of (useful) filters do, and suggest there's a clear link with
the mathematical and EE realm where frequency recognition should be
completely possible, to any accuracy, until the *rea
In this time where DSP and FFTs are become cheaper and cheaper per
operation, I think it is interesting to know what is reasonable to
expect from a sampled (digital) signal processing operator w.r.t. a
familiar and often important concept: frequency detection, or maybe you
can call it spectra
On 3/10/2014 8:14 PM, Joe Farrish wrote:
/Alberto,
Concerning your ST recommendation can you describe what the programing IDE,//
//language used, and other things to make them operational for audio use?
Joe./
Joe,
I am developing on the M4F chip an SDR (Software Defined Radio) applica
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