equation

通过BP网络实现对非线性函数（正弦函数）的逼近。函数比较短，很简练。(Through the BP network for the nonlinear function (sine function) approximation. Function relatively short and very concise.)

说明：  现代通信系统(matlab版本)第二版，第七个例题的程序。(Modern communication systems (matlab version) second edition, the seventh Example program.)

均匀白噪声、高斯白噪声信号波形，及其自相关函数和频谱密度函数图形(The wave of Even White noise and Gaussian noise,and their Autocorrelation Function and Spectrum Density. )

It will perform bit plane slicing operation on input image.

Generates Rayleigh faded signal with 10 multiple paths

说明：  本程序采用显示方案实现“平均曲率运动(MCM)”模型(This procedure indicates that the program used to achieve &quot mean curvature motion (MCM)&quot model)

this is program to to add noise to an image,you have to first set path to "C:dspprojects"and copy any image(512*512) to that path...

用Simulink搭建的DQPSK调制与解调的完整系统，包含了串并转换，差分编解码等关键技术，对理解DQPSK的基本原理有很大的帮助。(Complete system with the DQPSK modulation and demodulation Simulink built, comprising a serial-parallel conversion, encoding and decoding differential key technologies, a great help for understanding the basic principle of the DQPSK.)

Algorithm of the decision of the differential equation a method of final elements

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 )