Fons,
we are making rounds
I want JUST to increase amplitude of 8.5 * Fs / N, and
not to touch anything else.
Your suggestion to "also *decrease* the gain in 7 and 10"
will change amplitudes of 7 and 10, and that's exactly what
I want to avoid.
I am trying to say that if one uses ONLY (k * Fs /
Sergei,
> Whatever implementation of yours should be limited to simple
> FFT-based equalizer similar to the one I published. That is,
> data from no more than two adjacent FFT buffers can be used.
I will take up this challenge, but not immediately. Right now,
I'm working until almost 3 hours afte
Fons,
regarding,
"
It means limited Q, but no discrete central frequencies.
"
- please implement in the given 8 points example a filter an equalizer,
changing 1.5 * Fs / 8, but not affecting other frequencies.
To be more versatile:
Case_1:
input signal is
sin(2 * PI * 1 * Fs / 8) + sin(2 *
On Tue, Jan 03, 2006 at 03:12:50AM +0200, Sergei Steshenko wrote:
> In the case of DFT limited N means both limited Q and discrete
> central frequencies in the terms of precise signal restoration.
It means limited Q, but no discrete central frequencies.
BTW, I've used such 'interpolated frequency
On Mon, Jan 02, 2006 at 04:52:42PM -0800, Bill Unruh wrote:
> Once you have made teh discrete sampling you have lost the original signal.
> It is gone. You cannot reconstruct it.
> IF you assume that the original signal is frequency limited, then you may
> be able to reconstruct it.
Sigh. Of cou
Fons,
when I said "central frequencies" I meant the frequencies which
can be reproduced exactly using one direct DFT and one inverse
DFT buffer.
That is, I claim that for the 8 points DFT/FFT example I gave if
input signal contains only
0 * Fs / 8
1 * Fs / 8
2 * Fs / 8
3 * Fs / 8
frequencies, i
On Tue, 3 Jan 2006, fons adriaensen wrote:
On Tue, Jan 03, 2006 at 01:22:56AM +0200, Sergei Steshenko wrote:
- do you agree that if, say, I have an 8 point FFTW, the following
frequencies are represented in the FFTW output array C (the result of time ->
frequency conversion, i.e. direct FFT):
On Tue, Jan 03, 2006 at 01:22:56AM +0200, Sergei Steshenko wrote:
> - do you agree that if, say, I have an 8 point FFTW, the following
> frequencies are represented in the FFTW output array C (the result of time ->
> frequency conversion, i.e. direct FFT):
>
> C[0] <=> DC (only real part)
>
Regarding
"A weighted sum of some DFT outputs"
- do you agree that if, say, I have an 8 point FFTW, the following
frequencies are represented in the FFTW output array C (the result of time ->
frequency conversion, i.e. direct FFT):
C[0] <=> DC (only real part)
C[1], C[7] <=> 1 * Fs / 8;
C[
On Mon, Jan 02, 2006 at 11:37:54PM +0200, Sergei Steshenko wrote:
> So, how are going to implement a central frequency which is
> not a multiple of (Fs / N) in a DFT equalizer ?
>
> That is, what data resulting from direct DFT represents such frequencies ?
A weighted sum of some DFT outputs, ins
So, how are going to implement a central frequency which is
not a multiple of (Fs / N) in a DFT equalizer ?
That is, what data resulting from direct DFT represents such frequencies ?
On Mon, 2 Jan 2006 22:36:21 +0100
fons adriaensen <[EMAIL PROTECTED]> wrote:
> On Mon, Jan 02, 2006 at 07:58:57P
On Mon, Jan 02, 2006 at 07:58:57PM +0200, Sergei Steshenko wrote:
> The existence of spectral resolution prevents end user from having
> arbitrary central band frequencies in DFT-based equalizers, central
> frequencies
> can only be a multiple of spectral resolution.
Not true, you can have arbit
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