chapter1

it is also a source code for SAODV protocol

说明：  图像灰度变换、图像的锐化、⑴直方图均衡化（histogram equalization），⑵直方图匹配（histogram matching），⑶邻域平均（neighborhood averaging），⑷局域增强（local enhancement）， ⑸中值滤波（median filtering）。源码(Image gray-scale transformation, image sharpening, ⑴ histogram equalization (histogram equalization), ⑵ histogram matching (histogram matching), ⑶ average neighborhood (neighborhood averaging), ⑷ enhanced local (local enhancement), ⑸ Value filtering (median filtering). Source)

一个PSO算法历程，有详细的注释，及相关演示过程。采用了基本PSO、权重优化、最大速度法三种（去掉代码中的相关行的注释即可使用）。(PSO algorithm is a process, detailed notes, and related presentation process. With the basic PSO, weight optimization, the maximum speed law of three (remove the code related to the comment line can be used).)

这是我自己调试好了的彩色图像增强的，绝对可以使用，非常好。(This is my own and tested the color image enhancement, absolutely you can use, very good.)

Tsis is a satelit handbook and I hope that can help someone.

NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个： 1 确定因素，并建立网络层和控制层模型。 2 创建比较矩阵。 3 按照指标类型针对每列进行规范化。 4 求出每个比较矩阵的最大特征值和对应的特征向量。 5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。 6 将各个特征向量单位化(归一化)，组成判断矩阵。 7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。 8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。 (NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following: A determining factor, and a network layer and control layer model. 2 create a comparison matrix. For each of the three types of indicators in accordance with normalized columns. 4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors. 5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements. 6 will each feature vector units of (normalized), to determine the composition of matrix. 7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix. 8 of the weighted super-matrix units of (normalized), seeking the powe)

这是基于GDIM模型的彩色图像序列光流场，所用的颜色模型为RGB。(This optical flow is from color image sequences based on GDIM model,and the color model is RGB.)

说明：  mimo下行基于块对角化信道逆转的多用户预编码程序。(mimo downlink multi-user precoding based on block diagonalization channel inversion)

single human motion detection

FM信号的调制解调的simulink仿真，亲自测试已经通过，大家可以放心下载使用。(FM signal modulation and demodulation simulink simulation, personally test has passed, you can be assured to download.)