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## White Gaussian Noise |

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

I work in speech denoising .I mixed clean speech (x) with additive **white** **gaussian** **noise** (n).I used Independent component analysis to separate the **noise** from speech signal.I compute SNRi=10 log10 var(x)/var (n). I compute SNRo= 10log10 var (x)/var(S-x).S is the estimated speech signal after using independent component (...)

Elementary Electronic Questions :: 05-09-2015 08:45 :: Ahm1979 :: Replies: **0** :: Views: **20**

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 06:15 :: Md Shareef :: Replies: **0** :: Views: **147**

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 17:01 :: weetabixharry :: Replies: **3** :: Views: **467**

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 :: 10-29-2013 22:12 :: kerin :: Replies: **4** :: Views: **364**

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 05:32 :: von Moltke :: Replies: **0** :: Views: **406**

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 00:04 :: verylsi :: Replies: **1** :: Views: **519**

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 16:46 :: charly87 :: Replies: **15** :: Views: **3058**

From where this "**white**" word come in Additive **white** **gaussian** **noise** .? ( I know that PSD of **noise** is flat but why **white** ??) Plz help

Elementary Electronic Questions :: 12-24-2012 16:14 :: ksmtboya :: Replies: **2** :: Views: **388**

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 09:15 :: Adam8198 :: Replies: **0** :: Views: **518**

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 14:03 :: cerg19 :: Replies: **4** :: Views: **527**

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 06:10 :: DeliriumCordia :: Replies: **1** :: Views: **593**

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 09:25 :: mayavi :: Replies: **0** :: Views: **358**

I am confused by the power sense of the **white** **noise** and **gaussian** **white** **noise**. Just look at the average powers of this two types of signals:
1) For **white** **noise**: Snn(f)=N/2 and the total power Paverage = infinity
2) But for Guassian **white** (...)

Digital Signal Processing :: 03-27-2012 17:13 :: JohnLai :: Replies: **7** :: Views: **4372**

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 13:52 :: jilly0124 :: Replies: **1** :: Views: **707**

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 01:28 :: sityeven :: Replies: **0** :: Views: **529**

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 17:34 :: rayyanc :: Replies: **0** :: Views: **2151**

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 01:28 :: haisrilatha :: Replies: **0** :: Views: **876**

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 12:59 :: deep8006 :: Replies: **0** :: Views: **400**

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 16:33 :: flashking :: Replies: **2** :: Views: **6158**

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 09:39 :: iVenki :: Replies: **0** :: Views: **389**

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 10:19 :: ardea :: Replies: **2** :: Views: **4090**

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 00:17 :: sathishrdh :: Replies: **0** :: Views: **3283**

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 04:16 :: masudasim :: Replies: **0** :: Views: **1776**

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 03:20 :: Joatt :: Replies: **4** :: Views: **1315**

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 12:00 :: usualsuspect :: Replies: **2** :: Views: **5876**

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 10:21 :: magnetra :: Replies: **0** :: Views: **877**

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 11:09 :: magnetra :: Replies: **0** :: Views: **2778**

Digital Signal Processing :: 06-07-2009 01:30 :: engr_najam :: Replies: **10** :: Views: **2588**

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 05:04 :: honhungoc :: Replies: **0** :: Views: **995**

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 04:26 :: honhungoc :: Replies: **0** :: Views: **936**

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 07:09 :: dinone :: Replies: **0** :: Views: **1855**

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 13:01 :: 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 15:40 :: sarahpaninsky :: Replies: **0** :: Views: **1597**

Dear all,
what are the features of **white** **noise** in theory?
2nd-when using "randn" in MATLAB to create a **white** **gaussian** **noise**; what is meant by "**white**" ? I mean that this **noise** isn't infinite. I think it is called "**white**" because it contains most of the (...)

Digital Signal Processing :: 06-12-2008 02:05 :: scholar_a :: Replies: **4** :: Views: **1124**

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 :: 03-19-2008 22:46 :: thered :: Replies: **5** :: Views: **9423**

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 00:20 :: thered :: Replies: **0** :: Views: **1013**

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 12:52 :: sergio mariotti :: Replies: **2** :: Views: **1012**

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 13:46 :: ahmedseu :: Replies: **6** :: Views: **20460**

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 02:51 :: sudhir_dakey :: Replies: **0** :: Views: **897**

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 10:15 :: johnchau123 :: Replies: **0** :: Views: **967**

In the awgn channel the **noise** added is **gaussian** as well as **white** **noise**...
my question is whether **gaussian** distributed **noise**s are always **white** **noise**....?
is the vice versa is also correct...?

Digital communication :: 10-26-2007 06:56 :: lordsathish :: Replies: **6** :: Views: **3791**

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 07:19 :: rrumpf :: Replies: **1** :: Views: **1402**

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 02:06 :: bulx :: Replies: **1** :: Views: **3164**

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 16:08 :: spweda :: Replies: **5** :: Views: **1408**

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

Digital communication :: 01-22-2007 04:50 :: tti :: Replies: **4** :: Views: **811**

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

Digital communication :: 08-12-2006 11:41 :: islamatef :: Replies: **0** :: Views: **553**

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 11:04 :: islamatef :: Replies: **2** :: Views: **1382**

encode the signal the modualtion at the rec

Digital communication :: 04-05-2006 10:46 :: Maya Laxman Sawant :: Replies: **0** :: Views: **2256**

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 numeric, it represents
the signal power in dBW. When SIGPOWER is 'measured', AWGN measures
the (...)

Digital communication :: 03-27-2006 23:28 :: carpa :: Replies: **3** :: Views: **6513**

In a CDMA receiver, there are two **noise** sources of interference that are purely **white** **gaussian** **noise**:
-The receiver's input referred thermal **noise** power spectral density No.
-The transmitter's thermal **noise** power spectral density in the receive frequency band.
In your case definitely (...)

RF, Microwave, Antennas and Optics :: 03-18-2006 15:28 :: vfone :: Replies: **3** :: Views: **834**

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