RCPCED

have further added a very simple Linear Equalizer to the code, where I assume that the channel is perfectly known. Note that for equalization to work here, the prefix length must be equal to or greater than the length of the channel.

龙格库塔算法,微分方程组求解，用matlab语言编写。(Runge-Kutta algorithm, the differential equations solved using matlab language.)

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主要用途是对抗多径衰落。由于多径衰落的存在，使得同一个帧由于路径不同，到达用户端的时延有先有后。在相关的频域上的会造成子载波之间的相互干扰，影响 性能。另外，由于有了循环前缀，使得IFFT FFT操作把原来的线性卷积变成循环卷积，大大简化了相应的信号处理复杂度

给定传递函数的分子和分母，以及预测时域，预测步长，自动仿真GPC算法。(Given the transfer function, simulate GPC algorithm.)

这里的DDS(直接数字合成)是我在MATLAB中用Simulink基本模块搭建起来的模型,仿真DDS信号的产生,并有一个M文件实现与模型同等的功能,MATLAB爱好者一定不要错过(I build the DDS model using simulink basic model to simulate the DDS source, associated a M file realizing the same function as the model,and,the MATLAB lovers must not miss)

1.分别在两个图中画出δ(n)和δ(n-2)，其中-10≤n≤10，画出U（n）其中-10≤n≤10。 2.分别在两个图中画出x1(n)=cos(2π×20×0.01×n)，0≤n≤10和x2(n)=(0.8)n，1≤n≤6。 3.由上一题，计算y(n)=x1(n)+x2(n)，并画图。(1. Draw the figure at two δ (n) and δ (n-2), where-10 ≤ n ≤ 10, draw the U (n) where-10 ≤ n ≤ 10. 2. Respectively in the two Draw the figure x1 (n) = cos (2π × 20 × 0.01 × n), 0 ≤ n ≤ 10 and x2 (n) = (0.8) n, 1 ≤ n ≤ 6. 3. from the previous question, calculate y (n) = x1 (n)+ x2 (n), and drawing.)

Matrix - algebra computing. All algorithms in matlab style(Matrix- algebra computing. All algorithms in matlab style)

图像处理，双线性滤波器MATLAB程序，经调试可用(Image processing, bilinear filter MATLAB program)

计算一维和二维表面粗糙度Ra，根据需要自行选择。(Calculate one and two dimensional surface roughness Ra, according to the needs of your choice.)