代码搜索:Realization

找到约 607 项符合「Realization」的源代码

代码结果 607
www.eeworm.com/read/248950/12531153

m eigmovie.m

# make one realization of all eigs t = 0; alpha = memory ; salpha = sqrt((1.0-alpha^2)) ; for k1=1:K for k2=k1:K v=randn(size(x))*M ; t ++ ; vs(t,:) = alpha * vs(t,:) + salpha * v ; endfor
www.eeworm.com/read/248950/12531171

m eigsample.m

# make one realization of all eigs t = 0; vs=[]; for k1=1:K for k2=k1:K v=randn(size(x))*M ; t ++ ; vs(t,:) = v ; endfor endfor HVVS ;
www.eeworm.com/read/248284/12585630

m p2_6.m

% Program P2_6 % Cascade Realization clf; x = [1 zeros(1,40)]; % Generate the input n = 0:40; % Coefficients of 4th order system den = [1 1.6 2.28 1.325 0.68]; num = [0.06 -0.19 0.27 -0.26 0.12
www.eeworm.com/read/247645/12638323

m cp0801_gnoise1.m

% % FUNCTION 8.2 : "cp0801_Gnoise1" % % Introduces additive white Gaussian noise over signal % 'input'. % Vector 'ebno' contains the target values of Eb/No (in dB) % 'numbits' is the number of
www.eeworm.com/read/247645/12638329

m cp0801_gnoise2.m

% % FUNCTION 8.3 : "cp0801_Gnoise2" % % Introduces additive white Gaussian noise over signal % 'input'. % Vector 'exno' contains the target values of Ex/No (in dB) % 'numpulses' is the number of
www.eeworm.com/read/205223/15323275

m cp0801_gnoise1.m

% % FUNCTION 8.2 : "cp0801_Gnoise1" % % Introduces additive white Gaussian noise over signal % 'input'. % Vector 'ebno' contains the target values of Eb/No (in dB) % 'numbits' is the number of
www.eeworm.com/read/205223/15323277

m cp0801_gnoise2.m

% % FUNCTION 8.3 : "cp0801_Gnoise2" % % Introduces additive white Gaussian noise over signal % 'input'. % Vector 'exno' contains the target values of Ex/No (in dB) % 'numpulses' is the number of
www.eeworm.com/read/200275/15435995

m cp0801_gnoise1.m

% % FUNCTION 8.2 : "cp0801_Gnoise1" % % Introduces additive white Gaussian noise over signal % 'input'. % Vector 'ebno' contains the target values of Eb/No (in dB) % 'numbits' is the number of
www.eeworm.com/read/192035/8410416

m ar1noise.m

function X=ar1noise(n,c,g,a) % AR1NOISE - Generate zero-mean red noise. % Syntax: X=ar1noise(n,c,g,a); % % Inputs: n - desired length of time series % c - number of time series to gener
www.eeworm.com/read/388457/8608050

m p9_3.m

% Program P9_3 % Coefficient Quantization Effects on Direct Form % Realization of an FIR Transfer Function clf; f = [0 0.4 0.45 1]; m = [1 1 0 0]; b = remez(19, f, m); [g,w] = gain(b,1); bq =