## Forums Search for: Gaussian Noise

## generation of AWGN

inhallo How can I generate a gaussian noise with : variance = SF/(2*EbN0); SF : spreading factor EbN0 : Eb/N0 Thanks a lot maca

hallo How can I generate a gaussian noise with : variance = SF/(2*EbN0); SF : spreading factor EbN0 : Eb/N0 Thanks a lot maca

## Shannon's channel capacity with arbitrary noise!!

inHi all, It is not very common to discuss Shannon's channel capacity with an arbitrary noise. I guess we are more familiar with Shannon's...

Hi all, It is not very common to discuss Shannon's channel capacity with an arbitrary noise. I guess we are more familiar with Shannon's channel capacity perturbed by white Gaussian noise. I also think there had been lot of discussions with Shannon's limit,Shannon capacity etc. previously. My post is slightly different from those threads. Shannon, in his classic "A Mathematical Theory ...

## Which noise?

inDear chaps, I have a problem. I have a signal recorded from a ultrasonic transducer of a chemical reaction. It is rich of noise, expecially...

Dear chaps, I have a problem. I have a signal recorded from a ultrasonic transducer of a chemical reaction. It is rich of noise, expecially the white one. I tried to filter with normal filter (butterworth band pass), but I did not obtained a lot of success. So, I thought was better delete the White gaussian noise with an adaptive filter. I used the demo of Simuling of LMS but I have probl...

## noise..how to regulate it?

inDear chaps, I have a problem. I have a signal recorded from a ultrasonic transducer of a chemical reaction. It is rich of noise, expecially...

Dear chaps, I have a problem. I have a signal recorded from a ultrasonic transducer of a chemical reaction. It is rich of noise, expecially the white one. I tried to filter with normal filter (butterworth band pass), but I did not obtained a lot of success. So, I thought was better delete the White gaussian noise with an adaptive filter. I used the demo of Simuling of LMS but I have probl...

## How to tell which channel the signal is transmitting

inHi Suppose I have a signal S=[s0 s1]^T both s0 and s1 are from the set of signal constellation C, the constellation C is known however S is not...

Hi Suppose I have a signal S=[s0 s1]^T both s0 and s1 are from the set of signal constellation C, the constellation C is known however S is not known. Now send the signal through some channel, we only know the channel model can be either H0 or H1 The receive signal could be expressed as Y=HS+N N is gaussian noise We get the receive signals R=[r0 r1]^T Is there an easy way that I ...

## Power and variance of Gaussian White Noise

inhi there this is a newbie working on a signal denoising problem. i want to jam a given signal with a white noise pulsed jammer such that...

hi there this is a newbie working on a signal denoising problem. i want to jam a given signal with a white noise pulsed jammer such that the effective jammer to signal ratio is some known value, say 30 db for example. to generate the wgn, i specify the variance in simulink for the gaussian noise source. what is the realtion between the variance (sigma) and power of white gaussian noi...

## Other Modulation Problem

inA baseband signal m(t) that has a Gaussian (amplitude) distribution frequency modulates a transmitter. Assume that the modulation has...

A baseband signal m(t) that has a Gaussian (amplitude) distribution frequency modulates a transmitter. Assume that the modulation has a zero-mean value and a peak value of Vp = 4*(sigma). The FM signal is transmitted over an additive white Gaussian noise channel. Let Beta = 3 and B = 15KHz. Find (S/N)out/(S/N)baseband when: A. No deemphasis is used. B. 75-u sec deemphasis is used. Again...

## An Academic Detection Question

inThis has been a question I've had for a long time. I have simplified it to its basic components. You have a signal x(t) composed as x(t)...

This has been a question I've had for a long time. I have simplified it to its basic components. You have a signal x(t) composed as x(t) = u(t-t0) + n(t), where u(t) is the unit step function, t0 is unknown, and n(t) is stationary white Gaussian noise. You need to be able to detect the signal "reliably" (I'll leave the definition of that open for now) within t1 seconds of t0. No...

## freq and phase estimation

inWhat is the most effective way to adaptive estimate freqs and phases of the mixture (superposition) of the signals: s_i(t) =...

What is the most effective way to adaptive estimate freqs and phases of the mixture (superposition) of the signals: s_i(t) = cos(2*pi*f_i*t+p_i)+n_i(t) , where i=1,2, ..., N and n_i is additive gaussian noise. Michal

## simultaneous frequence and phase estimation

inI am looking for methods which are able to simultaneously estimate the frequency (f_i) and phase (p_i) of the mixture (superposition) the simple...

I am looking for methods which are able to simultaneously estimate the frequency (f_i) and phase (p_i) of the mixture (superposition) the simple "sinusoidal" signals with additive noise: s_i(t) = A_i*cos(2*pi*f_i*t+p_i)+n_i(t) , where i=1,2, ..., N and n_i is additive gaussian noise. Michal

## Implementation of OQPSK-demodulator in matlab

inHello I have made a program in matlab that can demodulate an OQPSK-modulated signal with noise (additive white gaussian noise). The carrier...

Hello I have made a program in matlab that can demodulate an OQPSK-modulated signal with noise (additive white gaussian noise). The carrier is phase-shifted with an arbitrary constant between 0 and 2*pi. Here is what I do to demodulate the signal: When the signal is received at time t=0 I know the following will happen for the first T seconds: 1) If there is no or little noise and t...

## question about white gaussian noise

indoes additive white gaussian noise only change the amplitude of a signal or does it change both amplitude and phase?

does additive white gaussian noise only change the amplitude of a signal or does it change both amplitude and phase?

## Noise and Signal Subspace

inI have a file with the values associated to the electric field for 32 different frequencies at a fixed point. Due to the RootMUSIC...

I have a file with the values associated to the electric field for 32 different frequencies at a fixed point. Due to the RootMUSIC requierements, white gaussian noise is added to original vector, obtaining the noisy_matrix. After that I calculate the covariance matrix and then I get its eigenvalues. The problem is that I don?t see any meaningful difference between eigenvalues that let me id...

## How to set the parameter value for Rayleigh fading Simulation

inWhen calcualate BER for certain modulation scheme, under Rayleigh fading, exact theoretical valuse is available from books and...

When calcualate BER for certain modulation scheme, under Rayleigh fading, exact theoretical valuse is available from books and publications. But how to do set Rayleigh parameters in the simulation? For example, received signal is r(t) = Alpha * exp(-j*Phi) * s(t) + z(t) ( By Proakis 's book) And s(t) transmitted signal z(t) Gaussian noise ~ N ( 0, Sigma) ...

## BER dependence on SINR

inHello, In case of r(t) = s(t) + i(t) + n(t) where r(t) - received signal s(t) - desired signal i(t) - interference...

Hello, In case of r(t) = s(t) + i(t) + n(t) where r(t) - received signal s(t) - desired signal i(t) - interference signal n(t) - additive Gaussian noise then does the BER depend on Signal-to-{Interference + Noise} Ratio (SINR) directly For e.g. if s(t) is Binary PSK, can I use the Q-function directly by replacing the SNR by SINR to estimate the BER. Cheers...

## capacity of multi-antenna channel - channel matrix unknown at receiver

inConsider the memoryless, discrete time, matrix channels with additive Gaussian noise of the form Y = HX + Z, where H is the channel matrix, X is...

Consider the memoryless, discrete time, matrix channels with additive Gaussian noise of the form Y = HX + Z, where H is the channel matrix, X is the original signals, and Y is the received signals. There is a growing body of literature discussing the capacity of such channel when H is known at the receiver. However, I didn't find any paper studying the problem when H is NOT known at the rec...

## does WGN(white Gaussian noise) imple zero mean?

inHi all, I read through several books but did not get clarification on whether WGN(white Gaussian noise process) imply zero mean or...

Hi all, I read through several books but did not get clarification on whether WGN(white Gaussian noise process) imply zero mean or not... Another confusion I have is that the definition of WGN is it has flat power spectrum density, let's say S(f)=1, then Rx(t)=delta(t) is its autocorrelation function, I don't see how people say the power of this noise process is E((x(t))^2)=sigma_x, ...

## Non-uniform Sampling of White Gaussian Noise??

inHi there, I have modelled a system that non-uniformly samples a bandpass signal. Unfortunately I am not allowed to transform to the...

Hi there, I have modelled a system that non-uniformly samples a bandpass signal. Unfortunately I am not allowed to transform to the equivalent bandpass. Now I have the problem that I should also model the samples, when bandpass filtered White Gaussian Noise is sampled. For uniform sampling, the variance of the Gaussian Variable of each tap equals N_0B. How can I evaluate the variance of t...

## Adding Noise

inHi, Is there some quick ways or software tools to add kind of noise, for example gaussian noise etc to each tuple in a...

Hi, Is there some quick ways or software tools to add kind of noise, for example gaussian noise etc to each tuple in a vector. Thanks, Richard

## Basic Question about Additive White Gaussian Noise

inWhen we talk about an AWGN signal, n(t), which parameter(s) has the Gaussian distribution? Is it the amplitude, power, or phase of the signal??...

When we talk about an AWGN signal, n(t), which parameter(s) has the Gaussian distribution? Is it the amplitude, power, or phase of the signal?? Also is the parameter linear or logarithmic under the Gaussian distribution? For example, are we to assume that AWGN describes a power signal with a mean and variance on a logarithmic scale versus time? Any help understanding this will be appreci...