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Estimador_Reducido

于 2019-05-19 发布

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说明： Estimador de orden reducido Control en el espacio de estados

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netlist_CH3
As a consequence, more exact models of devices can be retained for analysis rather than the approximate models commonly introduced for the sake of computational simplicity. A computer icon appears in the margin with each introduction of MATLAB analysis.

2008-02-19 18:54:05下载

积分：1
DSSS
direct sequence spread spectrum

2010-10-11 12:32:10下载

积分：1
matlab-gongjuxiang
matlab工具箱，神经网络很全面，超星版(matlab toolbox, neural network is very comprehensive, Superstar Edition)

2010-05-06 21:14:41下载

积分：1
matmef2
mathematics with matlab

2013-12-22 03:06:03下载

积分：1
干扰仿真
说明：射频噪声干扰，噪声调频干扰，噪声调幅干扰模式的仿真以及SAR成像的仿真实现(several jammming modes simulation; SAR imaging)

2021-01-30 21:08:33下载

积分：1
pid
matlab仿真实现临界比例度算法功能实现(matlab simulation algorithm to achieve the critical function of the proportion of degree achievement)

2010-03-02 16:18:25下载

积分：1
gui
是基于matlab gui的一些控件的创制，有创建编辑框、文本框，按钮等(Matlab gui is based on a number of controls created, there is created edit box, text boxes, buttons, etc.)

2010-05-09 14:53:11下载

积分：1
plotting
Plotting different types of graphs viz. 2D, 3D

2012-05-15 13:28:52下载

积分：1
Coordinate-conversion
坐标转换（四参数） [row col]=size(source) for i=1:row u(i)=source(i,2) v(i)=source(i,3) x(i)=source(i,4) y(i)=source(i,5) B(2*i-1,1)=1 B(2*i-1,2)=0 B(2*i-1,3)=u(i) B(2*i-1,4)=-v(i) B(2*i,1)=0 B(2*i,2)=1 B(2*i,3)=v(i) B(2*i,4)=u(i) L(2*i-1,1)=x(i) L(2*i,1)=y(i) end X=inv(B *B)*(B *L) Txy=[X(1) X(2)] xzjz(1,1)=X(3) xzjz(1,2)=-X(4) xzjz(2,1)=X(4) xzjz(2,2)=X(3) [row1 col1]=size(target) for i=1:row1 u1(i)=target(i,2) v1(i)=target(i,3) d=[u1(i) v1(i)] md=Txy+xzjz*d end end (Coordinate conversion： [row col]=size(source) for i=1:row u(i)=source(i,2) v(i)=source(i,3) x(i)=source(i,4) y(i)=source(i,5) B(2*i-1,1)=1 B(2*i-1,2)=0 B(2*i-1,3)=u(i) B(2*i-1,4)=-v(i) B(2*i,1)=0 B(2*i,2)=1 B(2*i,3)=v(i) B(2*i,4)=u(i) L(2*i-1,1)=x(i) L(2*i,1)=y(i) end X=inv(B *B)*(B *L) Txy=[X(1) X(2)] xzjz(1,1)=X(3) xzjz(1,2)=-X(4) xzjz(2,1)=X(4) xzjz(2,2)=X(3) [row1 col1]=size(target) for i=1:row1 u1(i)=target(i,2) v1(i)=target(i,3) d=[u1(i) v1(i)] md=Txy+xzjz*d end end )

2014-12-12 19:02:28下载

积分：1
ppt
After identifying the best MNT− 1 nodes with the simplified branch metric and the accumulated branch metric at stage NT − 1, we then calculate the LLR of each coded bit utilizing the standard squared Euclidian distance metric. The log-likelihood ratio (LLR) of a posteriori probability (APP) of each coded bit conditioned on the received signal y is normally calculated using the max-log approximation.

2013-11-26 13:25:03下载

积分：1

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