White noise: In signal processing, white noise is a random signal having equal intensity at different frequencies, giving it a constant power spectral density. White noise draws its name from white light, altho
The probabilities of right decoding for a channel with additive Gaussian noise and a binary symmetric channel with random choice of code wordsPractical, Theoretical or Mathematical/ AWGN channelsdecodingpoles and zerosprobability/ right decodingadditive Gaussian noise...
Random noise vs. White/Gaussian noiserand() is a MATLAB random number generator. It generates random variables that follow a uniform probability distribution. randn() generates random numbers that follow a Gaussian distribution.
For information about producing repeatable noise samples, seeTips. Random number generator seed, specified as a nonnegative integer. For more information on the random number generator, seerandn. Signal power unit, specified as'dBW','dBm', or'linear'. Linear power is in watts. ...
As will be seen later in the text, many physical phenomenon can be modeled as Gaussian random variables, including the thermal noise encountered in electronic circuits. Although many students may not realize it, they are probably quite familiar with the Gaussian random variable, for it is this ...
where random variables with Gaussian probability density functions describe the channel noise. In addition, any other component, e.g., repeater relays, that makes the process of data communications possible or alleviates it is Gaussian, such that none of the shared variables/distributions between user...
error;第二种考虑概率,目标是maximize某个probability(比如MLE maximizes log likelihood,即max probability of data given parameter,算是把data看成有概率的而parameter是确定性的;MAP maximizes a posterior是max prob of parameter given data,考虑的是后验概率,明显的贝叶斯思想,一切、包括参数在内、都是random的)...
Random number source— Random number source Global stream (default) | mt19937ar with seed Initial seed— Noise generator initial seed 67 (default) | nonnegative integer Simulate using— Type of simulation to run Code generation (default) | Interpreted execution ...
[Y,var] = awgn(___)also returns the total noise variance used to produce random noise samples in linear scale. Examples collapse all Add AWGN to Sawtooth Signal Create a sawtooth wave. t = (0:0.1:60)'; x = sawtooth(t); Add white Gaussian noise and plot the results. ...
To generate repeatable white Gaussian noise samples, do one of the following: Userng(seed) before calling theawgnfunction to generate repeatable random noise. Provide a staticseedvalue as an input toawgnexcept when the input is adlarrayobject. ...