代码搜索：Variance

找到约 2,271 项符合「Variance」的源代码

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m noisecu.m

function noise=noisecu(N); %NOISECU Analytic complex uniform white noise. % NOISE=NOISECU(N) computes an analytic complex white uniform % noise of length N with mean 0.0 and variance 1.0. % % Exampl
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m noisecu.m

function noise=noisecu(N); %NOISECU Analytic complex uniform white noise. % NOISE=NOISECU(N) computes an analytic complex white uniform % noise of length N with mean 0.0 and variance 1.0. % % Exampl
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m randn.m

function R=randn(M,N) % RANDN Normally distributed random numbers and matrices from % a normal distribution with mean 0.0 and variance 1.0. % usage: % R = randn(M,N) % % R: matrix of random values
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m noisecu.m

function noise=noisecu(N); %NOISECU Analytic complex uniform white noise. % NOISE=NOISECU(N) computes an analytic complex white uniform % noise of length N with mean 0.0 and variance 1.0. % % Exampl
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m noisecu.m

function noise=noisecu(N); %NOISECU Analytic complex uniform white noise. % NOISE=NOISECU(N) computes an analytic complex white uniform % noise of length N with mean 0.0 and variance 1.0. % % Exampl
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m noisecu.m

function noise=noisecu(N); %NOISECU Analytic complex uniform white noise. % NOISE=NOISECU(N) computes an analytic complex white uniform % noise of length N with mean 0.0 and variance 1.0. % % Exampl
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m noisecu.m

function noise=noisecu(N); %NOISECU Analytic complex uniform white noise. % NOISE=NOISECU(N) computes an analytic complex white uniform % noise of length N with mean 0.0 and variance 1.0. % % Exampl
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txt rbf.txt

2 16.000000 #rbf with variance 16.000000 9947 # Number of features -0.21801 #Threshold b 5.00000 #C parameter 1099 #Number of support vectors 5.00000 6:0.01984 15:0.03399 29:0.03603 31:0.03781 41
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m decoding.m

No=variance; % assume the codeword c, the parity check matrix H and No are already loaded into the MATLAB memory tx_waveform=bpsk(u,1); %amp= 1 rx_waveform=awgn(tx_waveform,No); sc
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cpp gasdev.cpp

#include #include "dist.h" float NormalDist::gasdev(void) // returns a normally distributed deviate with zero mean and unit // variance, using ran1(idum) as the source of uniform deviates.
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