代码搜索：Variance

找到约 2,271 项符合「Variance」的源代码

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m particle_choose.m

function [xhat]=particle_choose(xP,wP) %This routine is used to choose the %xP particles %wP weight %Mn optional string to get mean %Vnc optional string to get variance global nTx nRx Npart
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www.eeworm.com/read/485902/6548998

m modeling.m

% % Modeling % % % Last updated on April 28, 1998 % itn=input('\n No. of iterations? '); sigman2=input('\n Variance of the plant noise? '); sigman=sqrt(sigman2); wo=input('\n Plan
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www.eeworm.com/read/485392/6561109

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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www.eeworm.com/read/409205/11341508

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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www.eeworm.com/read/260913/11686903

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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www.eeworm.com/read/346367/11752690

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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www.eeworm.com/read/259112/11820089

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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www.eeworm.com/read/342749/12003487

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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www.eeworm.com/read/341613/12075546

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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www.eeworm.com/read/152597/12100043

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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