DOAcapone

MATLAB控制系统建立，能够实现基本的PIDgin仿真 以及控制系统建模实例(MATLAB control system established to achieve the basic PIDgin System Modeling Simulation and Control)

design electronic device in photonic crystal

OFDM系统中用限幅法降低系统的峰值平均功率比(OFDM system limiting method used to reduce the peak-to-average power ratio)

衰落是由于发射机与接收机之间空间位置的微小变化引起的，描述小范围内接收信号场强中瞬时值的快速变化特性，是由多径传播和多普勒频移两者共同作用的结果，包括由多径效应引起的衰落和信道时变性引起的衰落，具有信号的多径时延扩展特性和信道的时变特性(Fading is caused due to a slight change of the position of the space between the transmitter and the receiver, the characteristics of the receiving signal field strength, the instantaneous value of the rapid changes in the description within, by multipath propagation and Doppler frequency shift of the joint action of botha result, time-varying fading caused by multipath effects and channel fading due to multipath delay spread characteristics and channel time-varying characteristics of the signal)

用Matlab软件搭出来的光伏电池模型，通过输入光照、温度、电压参数，可以实现光伏电池的一般特性。(Take out using Matlab software model of photovoltaic cells, by entering the light, temperature, voltage parameters, you can achieve the general characteristics of photovoltaic cells.)

This model were build to simulate flicker when switches the big load to the network. The result show that, when switches the load, voltage and current fluctuate and make flicker.

该程序用有限元方法对变截面悬臂梁进行变形分析。(The program uses finite element method to analyse of variable cross-section cantilever deformation.)

this is mimo ofdm programm

function invovloed in DOA estimataion of an programmes

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 )