Ryhmän sfnet.tori.ostetaan.muut virallinen kuvaus
Eino Blomberg
> On 5 Aug, 00:58, Alex <alex.reche+comp....@gmail.com> wrote:
>> Hi all,
>>
>> I'm new in this newsgroup and I thank you in advance for your help.
>>
>> My problem is the following. I have a couple of signals (X, Y) and I
>> want to separate the two sources that compose it (X1,Y1) and (X2,Y2).
>>
>> I know that (X1,Y1) has low frequencies from 0 to ~3500Hz and that
>> (X2,Y2) has frequencies in between 3000Hz and 7000Hz.
>>
>> I already tried filtering the original signals using Butterworth and
>> Chebyshev filters which work quite well although the sources are not as
>> clean as I expected. I guess because of the overlap of the two of them.
>
> Probably.
>
>> I know that the source (X1,Y1) has a curious property, the norm of
>> every couple of values of this source is always 1, so X1 and Y1 are not
>> independent.
>>
>> My questions is the following. Is it possible to design a new filter
>> that takes into account this curious property and separates the sources
>> as a whole system where X and Y are not completely independent.
>
> There is far too little information here. What kinds
> of signals are these? What do you try to achieve?
> Why? Is there a real problem that the signals are not
> completely separated? Or is it just that the filtering
> did not work quite as well as you had hoped? There is no
> need to go on, if the present results are usable as is.
>
> Rune
Thanks for the answer Rune.
What kind of signal are these? Here is some extra information:
All my signals are a 40kHz.
X, Y, X2 and Y2 have values that can go from -inf to +inf.
X1 and Y1 have values that can go from -1 to +1 and each couple of
values x1,y1 have this property:
sqrt(x1*x1+y1*y1) = 1.
What do you try to achieve? I want to completelly separate the signal
to find the two original sources.
Why? Because I need the two original sources. :-D
Is there a real problem that the signals are not completely separated?
Actually yes, today the separated signals are not usable, that's why
I'm looking for a better filtering process... a process that takes into
account the knowledge I have about one of the resulting source's signal.
Alex