代码搜索：SiGe HBT

找到约 79 项符合「SiGe HBT」的源代码

代码结果 79
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www.eeworm.com/read/353453/10445760

pdf sige_sch.pdf

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www.eeworm.com/read/14081/296333

htm 0209sige.htm

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www.eeworm.com/read/14687/402196

pdf 0209sige.pdf

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www.eeworm.com/read/15465/451635

htm 0209sige.htm

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www.eeworm.com/read/449504/7502107

m ar.m

function results = ar(y,nlag,info) % PURPOSE: ols estimates for the AR(k) model % y = b0 + y(t-1) b1 + y(t-2) b2 +,...,y(t-k) bk + E, % E = N(0,sige*In) %---------------------
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www.eeworm.com/read/451558/7461816

c threadbinatree.c

/* ****************************************************************************************** * * 功 能 ：二叉树的线索遍历 * 作 者 ：林永表 * 日 期 ：2009-4-5 * **************************************
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www.eeworm.com/read/449504/7502220

m tvp.m

function result = tvp(y,x,parm,info) % PURPOSE: time-varying parameter maximum likelihood estimation % y(t) = X(t)*B(t) + e(t), e(t) = N(0,sige^2) % B(t) = B(t-1) + v(t), v(t)
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www.eeworm.com/read/449504/7502801

m semp_g.m

function results = sem_g(y,x,W,ndraw,nomit,prior) % PURPOSE: Bayesian estimates of the spatial probit error model % y = XB + u, u = rho*W + e % y = binary, 0,1 variable %
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www.eeworm.com/read/449504/7502806

m sem_g.m

function results = sem_g(y,x,W,ndraw,nomit,prior) % PURPOSE: Bayesian estimates of the spatial error model % y = XB + u, u = rho*W + e % e = N(0,sige*V), V = diag(v1,v2,...vn) %
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www.eeworm.com/read/449504/7502913

m far_g.m

function results = far_g(y,W,ndraw,nomit,prior) % PURPOSE: Bayesian estimates for the 1st-order Spatial autoregressive model % y = rho*W*y + e, e = N(0,sige*V), % V = diag(v1,
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