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adding noise to an oversampled ofdm signal
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mishal81  
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 More options Feb 9, 9:44 am
Newsgroups: comp.dsp
From: "mishal81" <n_wazir@n_o_s_p_a_m.hotmail.com>
Date: Thu, 09 Feb 2012 08:44:42 -0600
Local: Thurs, Feb 9 2012 9:44 am
Subject: adding noise to an oversampled ofdm signal
Hi All,

I'm really in trouble because of this awgn. I am trying to add noise awgn
to oversampled ofdm signal. my signal is oversampled 20 times and modulated
on a high frequency carrier. After applying band pass filter I have tried
to do this

SNR = EbNo + 10*log10(k) - 10*log10(upsamp)
corrupted = awgn(usig, SNR,'measured','dB');

where upsamp is 20, and k is 2, two bits per symbol with QPSK
modulation,,,

am I doing anything wrong,,,,,

this results me no error in the signal with the higheer values of noise
even,,,,

please help me ,,,,,what should i do,,,i tried the same thing with baseband
ofdm signal as well, but same result,,

Thanks

Regards


 
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Discussion subject changed to "STUPIDENT::Re: adding noise to an oversampled ofdm signal" by Vladimir Vassilevsky
Vladimir Vassilevsky  
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 More options Feb 9, 12:18 pm
Newsgroups: comp.dsp
From: Vladimir Vassilevsky <nos...@nowhere.com>
Date: Thu, 09 Feb 2012 11:18:51 -0600
Local: Thurs, Feb 9 2012 12:18 pm
Subject: STUPIDENT::Re: adding noise to an oversampled ofdm signal


 
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Discussion subject changed to "adding noise to an oversampled ofdm signal" by Tim Wescott
Tim Wescott  
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 More options Feb 9, 12:59 pm
Newsgroups: comp.dsp
From: Tim Wescott <t...@seemywebsite.com>
Date: Thu, 09 Feb 2012 11:59:29 -0600
Local: Thurs, Feb 9 2012 12:59 pm
Subject: Re: adding noise to an oversampled ofdm signal

It appears that you are blindly applying Matlab toolbox functions with no
idea of what they mean.

Try this:  Let your signal be x.  Make a noise vector of random, normal,
zero-mean samples that's the same size as x.  Add the noise vector to x.  
Then proceed.

Or, if you want to understand what Matlab is doing, use 'awgn' to corrupt
the signal (I assume that's what it does), then subtract your real signal
from the corrupted signal.  This should be the noise that was added, and
you can verify that it is Gaussian, white, etc., -- in other words, you
can figure out just what Matlab is doing when it does that function.

And for heaven's sake -- learn signal processing, not just Matlab button-
pressing!

--
My liberal friends think I'm a conservative kook.
My conservative friends think I'm a liberal kook.
Why am I not happy that they have found common ground?

Tim Wescott, Communications, Control, Circuits & Software
http://www.wescottdesign.com


 
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brent  
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 More options Feb 9, 1:04 pm
Newsgroups: comp.dsp
From: brent <buleg...@columbus.rr.com>
Date: Thu, 9 Feb 2012 10:04:39 -0800 (PST)
Local: Thurs, Feb 9 2012 1:04 pm
Subject: Re: adding noise to an oversampled ofdm signal
On Feb 9, 12:59 pm, Tim Wescott <t...@seemywebsite.com> wrote:

probability of solving problem within proper time by first learning
signal processing:

0% = a

probability of solving problem within proper time by matlab button
pushing

>0% =b

b-a = +epsilon?

learning signal processing


 
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