From: SARVANI NADIMINTY on
How should we calculate noise power spectral density for Additive white gaussian noise when we know only the noise samples? i.e.

i have generated awgn using rand(1,N); where N is some constant. How can i calculate the noise power spectral density without knowing any frequencies and input signal?
From: Wayne King on
"SARVANI NADIMINTY" <sarvani_nadi(a)yahoo.co.in> wrote in message <hofh8d$no$1(a)fred.mathworks.com>...
> How should we calculate noise power spectral density for Additive white gaussian noise when we know only the noise samples? i.e.
>
> i have generated awgn using rand(1,N); where N is some constant. How can i calculate the noise power spectral density without knowing any frequencies and input signal?

Hi Sarvani, you can estimate the power spectral density as a function of radians/sample.
Note that the frequency axis in the following is from 0 to pi radians/sample

H=spectrum.periodogram;
x = randn(1000,1);
plot(psd(H,x));

Wayne
From: SARVANI NADIMINTY on
"Wayne King" <wmkingty(a)gmail.com> wrote in message <hofia6$h5j$1(a)fred.mathworks.com>...
> "SARVANI NADIMINTY" <sarvani_nadi(a)yahoo.co.in> wrote in message <hofh8d$no$1(a)fred.mathworks.com>...
> > How should we calculate noise power spectral density for Additive white gaussian noise when we know only the noise samples? i.e.
> >
> > i have generated awgn using rand(1,N); where N is some constant. How can i calculate the noise power spectral density without knowing any frequencies and input signal?
>
> Hi Sarvani, you can estimate the power spectral density as a function of radians/sample.
> Note that the frequency axis in the following is from 0 to pi radians/sample
>
> H=spectrum.periodogram;
> x = randn(1000,1);
> plot(psd(H,x));
>
> Wayne
Thank you. Can u pls tell me what is this 'spectrum.periodogram'?
From: Wayne King on
"SARVANI NADIMINTY" <sarvani_nadi(a)yahoo.co.in> wrote in message <hofksn$s33$1(a)fred.mathworks.com>...
> "Wayne King" <wmkingty(a)gmail.com> wrote in message <hofia6$h5j$1(a)fred.mathworks.com>...
> > "SARVANI NADIMINTY" <sarvani_nadi(a)yahoo.co.in> wrote in message <hofh8d$no$1(a)fred.mathworks.com>...
> > > How should we calculate noise power spectral density for Additive white gaussian noise when we know only the noise samples? i.e.
> > >
> > > i have generated awgn using rand(1,N); where N is some constant. How can i calculate the noise power spectral density without knowing any frequencies and input signal?
> >
> > Hi Sarvani, you can estimate the power spectral density as a function of radians/sample.
> > Note that the frequency axis in the following is from 0 to pi radians/sample
> >
> > H=spectrum.periodogram;
> > x = randn(1000,1);
> > plot(psd(H,x));
> >
> > Wayne
> Thank you. Can u pls tell me what is this 'spectrum.periodogram'?

It is a periodogram spectral analysis object.

wayne
From: SARVANI NADIMINTY on
"Wayne King" <wmkingty(a)gmail.com> wrote in message <hofmj1$q7b$1(a)fred.mathworks.com>...
> "SARVANI NADIMINTY" <sarvani_nadi(a)yahoo.co.in> wrote in message <hofksn$s33$1(a)fred.mathworks.com>...
> > "Wayne King" <wmkingty(a)gmail.com> wrote in message <hofia6$h5j$1(a)fred.mathworks.com>...
> > > "SARVANI NADIMINTY" <sarvani_nadi(a)yahoo.co.in> wrote in message <hofh8d$no$1(a)fred.mathworks.com>...
> > > > How should we calculate noise power spectral density for Additive white gaussian noise when we know only the noise samples? i.e.
> > > >
> > > > i have generated awgn using rand(1,N); where N is some constant. How can i calculate the noise power spectral density without knowing any frequencies and input signal?
> > >
> > > Hi Sarvani, you can estimate the power spectral density as a function of radians/sample.
> > > Note that the frequency axis in the following is from 0 to pi radians/sample
> > >
> > > H=spectrum.periodogram;
> > > x = randn(1000,1);
> > > plot(psd(H,x));
> > >
> > > Wayne
> > Thank you. Can u pls tell me what is this 'spectrum.periodogram'?
>
> It is a periodogram spectral analysis object.
>
> wayne
Thanks a lot for the reply but i want a specific value for power spectral density to use it in a program. Can you help me to get values
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