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## White Gaussian Noise |

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60 Threads found on edaboard.com: **White Gaussian Noise**

Hi
I'm experimenting with power line communication by connecting 2 modems (Texas Instuments PLC developer's kits) through 100m of RG58 coaxial cable as a model power line and injecting **white** **gaussian** **noise** with a signal generator. The modems exchange modulated packets of data shown in fig 1.
I was hoping to see the response of the Bit (...)

RF, Microwave, Antennas and Optics :: 03-21-2016 16:59 :: Reschak :: Replies: **0** :: Views: **404**

AWGN - Add **white** Gausian **noise**.
to generate **white** **gaussian** **noise** u need function that generates random numbers with **gaussian** distribution (example randn in matlab)
If your enviroment doesnt have **gaussian** distributed random generator you have to make one using standard (...)

Digital communication :: 06-25-2015 15:10 :: axcdd :: Replies: **1** :: Views: **968**

Hello,
I have tried to measure C/No on a Rohde & Schwartz FSP. I have a source that can generate different C/No (**gaussian** **white** **noise**). When I try to measure with the FSP I come no where neare the wanted value.
Is there anyone who have tried to measure this with the Rohde & Schwartz FSP?
Regards

RF, Microwave, Antennas and Optics :: 06-18-2015 13:31 :: tyassin :: Replies: **3** :: Views: **493**

a random Rayleigh flat-fading channel
object based on Jake?s model is generated in MATLAB
with sampling period of 10 μs and the maximum Doppler
shift is set to 200 Hz. The additive **white** **gaussian** **noise** with
SNR of 23 dB is used. The required BER is set to 10−3 and
the average transmit power is fixed at 0.2 W.
Two independent (...)

Digital communication :: 05-03-2015 10:15 :: Md Shareef :: Replies: **0** :: Views: **563**

You can generate N samples of complex **white** **gaussian** **noise** with power sigma2 in Matlab or GNU Octave using the randn function:
n = (randn(1,N) + 1j*randn(1,N))*sqrt(sigma2/2);
To check the sample power of this **noise** is approximately equal to sigma2 (for sufficiently large N), you can then use:
Pn = n*n'/N
So, to get yo

Digital communication :: 02-23-2014 22:01 :: weetabixharry :: Replies: **3** :: Views: **1028**

Hi! what is the standard deviation of **white** **gaussian** **noise** when doing SINR simulation?
I am new to communication simulation. I have a project which needs to calculate SINR. SINR = P/(N+I), and here the **noise** is **white** **gaussian** **noise**. Generally speaking, is there any (...)

Digital communication :: 10-30-2013 02:12 :: kerin :: Replies: **4** :: Views: **603**

Hello all,
I want to determine the power level (dB amp) of (supposed to be wgn) random signal using oscilloscope data. I have compiled a code to do the job but when tried to verify my code for several different signals (periodic sinus, random **gaussian**) generated on MATLAB, I have seen that the code yields different power levels for different sig

Digital Signal Processing :: 07-17-2013 09:32 :: von Moltke :: Replies: **0** :: Views: **839**

Hi all,
I am looking for additive **white** **gaussian** **noise** generator . I found that the LogicCore is discontinued by xilinx.
I would like to try using system generator , but my matlab version seems incompatible with system generator.
Can anyone help me some ways , how can I add WGN to my signal and verify it whether its right or not ?
Thanks

PLD, SPLD, GAL, CPLD, FPGA Design :: 05-23-2013 04:04 :: verylsi :: Replies: **1** :: Views: **796**

n = 1/sqrt(2)*.
10.^(-SNR_dB(ii)/20)*n
what does the above two equations represeent? i have seen quite a lot to define **noise** but is it exactly they means?
thanks

Digital communication :: 01-19-2013 21:46 :: charly87 :: Replies: **15** :: Views: **5910**

If you add all the different frequencies(colors) of light you get **white** light. THAT's where it comes from.

Elementary Electronic Questions :: 12-24-2012 21:35 :: barry :: Replies: **2** :: Views: **560**

Hi guys,
Merry Christmas! I am newbie here and I would like to use the Xilink **white** **gaussian** **noise** generator in Simulink under 2012a matlab to generate the **noise** for my calculation. In the System Generator for DSP reference guide "UG639 (v 13.4) January 18, 2012", it mentioned that the WGNG was built based on (...)

Digital Signal Processing :: 12-22-2012 14:15 :: Adam8198 :: Replies: **0** :: Views: **964**

Hi. I first time write in this forum.
I am lookin for a information about transformation sinus signal + **gaussian** **white** **noise** passing through diode(or some other nonlinear element). I am interested in output signal **noise** dispersion. Please, advise book or paper about this.
Regards,
Sergey

RF, Microwave, Antennas and Optics :: 12-06-2012 19:03 :: cerg19 :: Replies: **4** :: Views: **950**

Hi everybody guys, I'm writing a signal processing software using C, so I'm a little bit "stuck".
I generated a triangular sampled signal. I need to add **white** **gaussian** **noise** to it at a certain SNR.
I calculated the power of autocorrelation as:
\frac{1}{N}\sum_{i=0}^{N-1}x^{2}
and then divided each element of the array with

Digital Signal Processing :: 10-05-2012 10:10 :: DeliriumCordia :: Replies: **1** :: Views: **1063**

Hello all,
How to generate a wide band signal with given auto correlation in MATLAB/C/C++ from **white** **gaussian** **noise**?
Regards,
Mayavi

Digital Signal Processing :: 04-27-2012 13:25 :: mayavi :: Replies: **0** :: Views: **521**

I don't think P_average = infinity for **white** **noise**
It is - by definition. Finite power density multiply infinite bandwidth equals infinite power. But it's a purely theoretical construct.

Digital Signal Processing :: 03-29-2012 06:57 :: FvM :: Replies: **7** :: Views: **8292**

Hi all,
I have got a Rayleigh Fading Channel Simulation code by Matlab but its performance about resulting BER is not right.
The code list below:
N=length(spread_sig);
n = sigmaN*(randn(1,N)+1j*randn(1,N))/sqrt(2); % **white** **gaussian** **noise**, 0dB variance
h = 1/sqrt(2)*(randn(1,N) + 1j*randn(1,N));
% Rayleigh channel,the range of h (...)

Digital communication :: 03-19-2012 17:52 :: jilly0124 :: Replies: **1** :: Views: **1068**

can anyone help me with the power supply **noise** effcet on phase **noise** of a ring oscillator in hspicerf?
I have read the mannual of hspicerf, it says i can model the **noise** source with an E element ot G element.
here comes the question, how can i model it? should i model it into a **white** **noise** or (...)

Analog Circuit Design :: 02-27-2012 06:28 :: sityeven :: Replies: **0** :: Views: **852**

Hey there,
I'm already aware of the in-built MATLAB functions for generating random numbers and **noise** (randn, rand, awgn etc.) It may be an easy solution but I guess I'm unable to see it clearly, so I thought I'd ask for some help here
My task is to create a software model of an LDPC Decoder, Encoder and the sort. While all that is completed th

Digital communication :: 02-04-2012 22:34 :: rayyanc :: Replies: **0** :: Views: **2692**

Hi everybody,
I have a grid network of 8 nodes and sink at center.
With node assuming transmitter, i got average SINR (for that transmitter, there are possible combinations of other nodes interfering)
with a specific Medium access protocol and BPSK modulation and **white** **gaussian** **noise**.
Now i want to get BER from average SINR. (...)

Elementary Electronic Questions :: 01-30-2012 06:28 :: haisrilatha :: Replies: **0** :: Views: **1330**

Hi everbody,
I am working on my course project in developing MSK transmitter and receiver. I have modulator and demodulator working perfectly. Problem comes when i tried to add **white** **gaussian** **noise** in the channel. The receiver output is still the same it has no effect of addition of **white** **noise**. As a (...)

Digital communication :: 12-04-2011 17:59 :: deep8006 :: Replies: **0** :: Views: **667**

here is some details on the **gaussian** **noise**
Additive **white** **gaussian** **noise** - Wikipedia, the free encyclopedia
also there is a function in matlab called awgn
you can use the help of matlab to get some details on it
or

Elementary Electronic Questions :: 06-14-2011 20:33 :: flashking :: Replies: **2** :: Views: **7008**

What do you mean by "Channel is linear"?
I mean when do you say a channel is linear?
I read "The signal transmitter through the channel is disturbed by **white** **gaussian** **noise** process. The reasons for this assumption is that it makes the calculations tractable".
What do mean by "it makes the calculation tractable"? How do you say

Digital communication :: 04-05-2011 13:39 :: iVenki :: Replies: **0** :: Views: **565**

Hi everybody!
Can you help me to write in matlab code a zero-mean **white** **gaussian** **noise** with variance=10^-4
Thanks so much!!

Elementary Electronic Questions :: 10-05-2010 14:19 :: ardea :: Replies: **2** :: Views: **4938**

Dear Sir
i need to know how to add AWGN(Additive **white** **gaussian** **noise**) to a signal using C code...please provide me with some guidelines...

Digital communication :: 09-29-2010 04:17 :: sathishrdh :: Replies: **0** :: Views: **4058**

Hi
I am working on conventional frequency domain beamforming for linear microphone receive array. I have simulated 32 channels array data using **white** **gaussian** **noise** with proper delays corresponding to target at 45 degree emitting 20KHz tonal. I beamformed this data to make 32 beams time series data.
To calculate array gain (or (...)

Digital Signal Processing :: 05-29-2010 08:16 :: masudasim :: Replies: **0** :: Views: **2356**

There are two effects that you should consider in your channel: **noise** and passband limitation (banwidth).
If you are working on Simulink, you can add a "**white** **gaussian** **noise**" generator to your circuit, and a bandpass filter for passband limitation (The passing bandwith of the filter is the working frequency rane of your (...)

Digital communication :: 08-26-2009 07:20 :: Joatt :: Replies: **4** :: Views: **1637**

In MATLAB
a = randn(1,1000) results in a vector of 1000 elements with a **gaussian** distribution, mean=0 and variance=1.
b = cumsum(a) what is "b"? It seems to be meaningless.
c = sqrt(cumsum(a.^2)) If "a" is **white** **noise**, then is "c" 1/f **noise**? How is the mean and variance of "c" related to that of "a"?
Thanks.

Digital communication :: 08-14-2009 16:00 :: usualsuspect :: Replies: **2** :: Views: **6949**

I am trying to analyze the variability of detection time by a threshold detector for input signal perturbed by a **white** **gaussian** **noise**(w) N(0,sig^2).
My input to the detector is a ramp-signal x with added WGN w. The input signal is supposed to have a fixed SNR.
Now, I decide to use the input of duration/length L. Then compute the inp

Digital Signal Processing :: 07-16-2009 14:21 :: magnetra :: Replies: **0** :: Views: **1129**

I have samples for **white** **gaussian** **noise**(WGN) w for n = 1:N. The power of this WGN is \frac{1}{N} \sum_{l = 1}^{N} w^2 . I can use this to calculate for given intervals with Matlab but I want to find an analytic expression for this? How do I proceed? Should I be using PSD of WGN ?
M

Digital Signal Processing :: 06-17-2009 15:09 :: magnetra :: Replies: **0** :: Views: **3243**

@ednan
when u say **white** **gaussian** ..that itself means equal signal power at all fequencies! so no freq range for WGN!!!
Rakesh

Digital Signal Processing :: 06-05-2009 21:56 :: rakesh_vnit :: Replies: **10** :: Views: **3017**

Hi all
In multiuser OFDM, suppose the average SNR per subcarrier is 15dB. The variance of additive **white** **gaussian** **noise** at each receiver is assumed equal and unified (means =1). The average channel gain is from 0.1 to 1.
From this, can I compute the total transmit power?
Please help me
Thank you

Digital communication :: 03-30-2009 09:04 :: honhungoc :: Replies: **0** :: Views: **1225**

Hi
I'm simulating according to the existing paper. However, I dont understand some parameters and dont know how to generate them.
Could anyone please help me?
"The variance fo additive **white** **gaussian** **noise** at each receiver is assumed equal and unified. The fading channel is three-path Rayleigh fading channel with exponential power (...)

Digital communication :: 03-16-2009 08:26 :: honhungoc :: Replies: **0** :: Views: **1127**

Hello to all
I am to modellizate a RF LNA in matlab, but I have a problem with the **noise** figure model. To model it I defined the variance of the **white** **gaussian** **noise** as:
4*k*T*R*(NF-1)*fs
where NF is the lineare **noise** factor and the fs is the frequency simulation. I multiplied this value for the (...)

Digital Signal Processing :: 01-23-2009 12:09 :: dinone :: Replies: **0** :: Views: **2420**

which type of noice calculator this?
whether it will **gaussian** or **white** **noise**.
is there any othere **noise** calculator avilable?
if you know anything anout that please mail me.
---------
vijai
sreevysh

Software Links :: 10-03-2008 17:01 :: viaji19 :: Replies: **10** :: Views: **1956**

Hi,
I want to generate a slowly changing signal (1 second duruation).
For this, I must filter **white** **noise** with a filter which is characterized by an alpha function as below
alpha(t)= t*exp(-t/tau) ( I think function is low-pass filter response)
where tau=3 ms. I couldnt achive this in matlab. Can anyone help me for this?
Regard

Digital Signal Processing :: 07-06-2008 19:40 :: sarahpaninsky :: Replies: **0** :: Views: **2346**

>what are the features of **white** **noise** in theory?
It has the same power at all frequencies. In other words, its auto corrleation is an impulse.
>2nd-when using "randn" in MATLAB to create a **white** **gaussian** **noise**; what is meant by "**white**" ? I mean that this **noise** isn't (...)

Digital Signal Processing :: 06-16-2008 09:09 :: bulx :: Replies: **4** :: Views: **1366**

Hi,
i've read that **white** **gaussian** **noise** has zero mean and a variance of 1. at the same time, the power spectral density has to be uniform all throughout in frequency.
i am confused as to how to program to generate this **noise** and i need some clarification to fully understand this.
thanks for the help in advance.

Elementary Electronic Questions :: 03-20-2008 02:46 :: thered :: Replies: **5** :: Views: **13181**

i've read that **white** **gaussian** **noise** has zero mean and a variance of 1. at the same time, the power spectral density has to be uniform all throughout in frequency.
i am confused as to how to program in mathcad to generate this **noise** and i need some clarification to fully understand this.
thanks for the help in advance.

Digital communication :: 03-20-2008 04:20 :: thered :: Replies: **0** :: Views: **1354**

to know the amount of the **noise** and it's spectral density You may use the FFT Analyzer ( also called Dynamic Signal Analyzer or Low Frequency Spectrum Analyzer).
To know how much the **noise** is "**white**" and **gaussian** You have to sample, store and then perform the Allan Variance

RF, Microwave, Antennas and Optics :: 03-15-2008 16:52 :: sergio mariotti :: Replies: **2** :: Views: **1456**

help awgn
AWGN Add **white** **gaussian** **noise** to a signal.
Y = AWGN(X,SNR) adds **white** **gaussian** **noise** to X. The SNR is in dB.
The power of X is assumed to be 0 dBW. If X is complex, then
AWGN adds complex **noise**.
Y = AWGN(X,SNR,SIGPOWER) when SIGPOWER is (...)

Digital communication :: 03-04-2008 18:46 :: ahmedseu :: Replies: **6** :: Views: **22535**

Hi. I need to design Additive **white** **gaussian** **noise** in verilog..can anyone help me out?
Thanks in advance.
Sudhir Dakey

Digital communication :: 01-03-2008 07:51 :: sudhir_dakey :: Replies: **0** :: Views: **1266**

Hi, everyone. When I did a question on Wiener filter, I do not know how to deal with it.
The question is as follows.
_____________________________
It is known that a certain object g(x,y) of size 256X256 is filtered by h(x,y) and then is corrupted by **white** additive **gaussian** **noise** n(x,y) to become i(x,y). We observe i(x,y), and our (...)

Digital Signal Processing :: 12-08-2007 15:15 :: johnchau123 :: Replies: **0** :: Views: **1226**

The answer is "NO". Distribution does not concern anything about time or frequency. Gaussion **noise** can have any power spectrum shape, and the very special one of it is **white**.

Digital communication :: 10-27-2007 10:58 :: carpa :: Replies: **6** :: Views: **4937**

The Shannon-Hartley capacity theorem computes the system capacity (C) of a channel with additive **white** **gaussian** **noise** (AWGN). You need to realize this theorem only sets a theoretical limit on transmission rate, not error probability. It is:
C = W * log2(1 + S/N)
S/N is the average signal-to-**noise** ratio and W (hertz) (...)

RF, Microwave, Antennas and Optics :: 08-09-2007 11:19 :: rrumpf :: Replies: **1** :: Views: **1867**

my take:
Rvv = E{w(t1)*cos(2Πft1+Φ) * w(t2)*cos(2Πft2+Φ)}
since w and Φ are indep,
Rvv = E{w(t1) * w(t2)} * E{cos(2Πft1+Φ) * cos(2Πft2+Φ)}
first term =1 , assuming w has unit power
Rvv = E{cos(2Πf ((t1+t2) + 2Φ) * cos(2Πf(t1-t2))} * 1/2
first term evaluates to zero, assuming &

Digital Signal Processing :: 06-08-2007 06:06 :: bulx :: Replies: **1** :: Views: **3904**

You need two independent **white** **gaussian** **noise** otherwise, the the **noise** received by the two receiver are coherent and no diversity gain.

Digital communication :: 04-02-2007 20:08 :: spweda :: Replies: **5** :: Views: **1741**

which are **white** **gaussian** channel characteristic
thank you for help

Digital communication :: 01-22-2007 09:50 :: tti :: Replies: **4** :: Views: **1265**

I need ,atlab file for
link level simulation for single additive **white** **gaussian** **noise** (AWGN)

Digital communication :: 08-12-2006 15:41 :: islamatef :: Replies: **0** :: Views: **714**

Ioc cell interference power density
Ior total trnsmitted power densityby mobile.
Ioc / Ior means SIR of received signal
to get it from link level simulation for additive **white** **gaussian** **noise** (AWGN)

Digital communication :: 08-11-2006 15:04 :: islamatef :: Replies: **2** :: Views: **2068**

encode the signal the modualtion at the rec

Digital communication :: 04-05-2006 14:46 :: Maya Laxman Sawant :: Replies: **0** :: Views: **2608**

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