代码搜索:coefficient

找到约 3,200 项符合「coefficient」的源代码

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www.eeworm.com/read/441391/7671167

m normals.m

function [ATA,ATb] = normals(ATA,ATb,A,omc,var) %NORMALS Accumulates the contribution of one observation equation and % adds it to the coefficient matrix ATA and the right side ATb. %
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data1 lsdyna.data1

LSDYNA lsdy1 LSDYOPTS lsdo lsdmp lsdb LSNKOPTS 863 LSNKMATS 684 600 LSNIKE3D 0 LSDYMATS 684 lsmat 1091 LSDYEOS 88 dyeos ; ! ; ! ;1 ! ; ! address # address:| amp # amplitude:| angle # angle:
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m lpcar2rr.m

function rr=lpcar2rr(ar,p) %LPCAR2RR Convert autoregressive coefficients to autocorrelation coefficients RR=(AR,P) % The routine calculated the autocorrelation coefficients of the signal % that res
www.eeworm.com/read/439850/7700703

m chap9_6i.m

%Three Loop of Flight Simulator Servo System with two-mass of Direct Current Motor clear all; close all; %(1)Current loop L=0.001; %L
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m chap9_6i.m

%Three Loop of Flight Simulator Servo System with two-mass of Direct Current Motor clear all; close all; %(1)Current loop L=0.001; %L
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m lsarma.m

function [a,b,sig2]=lsarma(y,n,m,K) % % The two-stage Least-Squares ARMA method % given in section (3.7.2) % % [a,b,sig2]=lsarma(y,n,m,K); % % y -> the data vector % n -> A
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m armase.m

function phi = armase(b,a,sig2,L); % generates L samples of an ARMA spectral density function phi % from the ARMA coefficients. % % phi = armase(b,a,sig2,L); % b -> the MA coefficient vec
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m argamse.m

function phi = argamse(gamma,a,L); % generates L samples of an ARMA spectral density function phi % from the ARMA coefficients. % % phi = argamse(gamma,a,L); % gamma -> the spectral densi
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m p6_3.m

% Program P6_3 % Gray-Markel Cascaded Lattice Structure % k is the lattice parameter vector % alpha is the vector of feedforward multipliers format long % Read in the transfer function coefficients nu
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m p6_2.m

% Program P6_2 % Parallel Form Realizations of an IIR Transfer num = input('Numerator coefficient vector = '); den = input('Denominator coefficient vector = '); [r1,p1,k1] = residuez(num,den); [r2,p