LMI_tool_introduction

此示意程序用DWT实现二维小波变换 1.调原始图像矩阵load wbarb 2.进行二维小波分解l=wfilters( db10 , l ) 3.分解结果显示figure(1) (This indicated procedures used to achieve two-dimensional wavelet transform DWT 1. Emphasized the original image matrix load wbarb 2. For two-dimensional wavelet decomposition l = wfilters (' db10' , ' l' ) 3. Decomposition results figure (1) )

vc++ 与 matlab 混合编程例子

说明：  Matlab voice vehicle code can connected with external device

Clipping is usfull method for PAPR reduction

一份完整的Matlab编写BPSK信号通过AWGN信道仿真过程的程序,有注释(Matlab BPSK signal through AWGN channel simulation program)

P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩，在MATLAB环境下均通过调试(P0301: digital image data display matrix and its Fourier transform P0302: Two-dimensional discrete cosine transform image compression, in the MATLAB environment through debugging)

说明：  作为MATLAB软件的初学者，一定要分析一些小算例，这里包含60个基本的小算例！(MATLAB software as a beginner, we must analyze some small example, contains 60 basic little example!)

1、使用牛顿法求sqrt（2）； 2、用牛顿法求 fx=(x-1)*(exp(x-1)-1)的误差以及误差比； 3、用牛顿法及其他两种方法求 fx=x^4-4*x+x^2的重根 (1, using Newton' s method for the sqrt (2) 2, using Newton' s method for the fx = (x-1)* (exp (x-1)-1) error and error ratio 3, using Newton' s method and the other two method, to calculate fx = x ^ 4-4* x+ x ^ 2 re-root)

已知自变量t，因变量y，y和t满足一下函数式： dy/dt=0.001414/(1/(4.5727*10^4*k1*(1-0.02119*y)^k2)+1/k3/45727)；（需要指出的是，该公式中参数可进一步合并，在本帖中并未作合并处理） 已知 t=；y=；拟合出参数k1，k2，k3。(Known independent variable t, the dependent variable y, y, and t satisfy my functional: dy/dt = 0.001414/(1/(4.5727* 10 ^ 4* k1* (1-0.02119* y) ^ k2)+1/k3/45727) (It should be noted that the equation parameters can be further consolidated in this post are not treated as a merger) is known t = y = fitting parameters k1, k2, k3.)

IEEE802.11n系统级仿真完整程序，引入了MIMO OFDM等技术，实现更高的吞吐率。(IEEE802.11n complete system-level simulation program, the introduction of MIMO OFDM technology to achieve higher throughput.)