ReportDecisionDeck-DEIM-URV

说明：  matlab SIMULINK Arabic tutorial part 5

The signal received by a user over the forward link in such a high data rate system contains interference from the neighboring base stations. we note that the strength of this interference is a function of the network load in the neighboring cells. we obtain an expression for the received SINR (Signal to Interference and Noise Ratio) as a function of the traffic load in the interfering cells. Using this result, we propose an improvement to the SINR estimation scheme that is implemented in the current cellular data network. The proposed scheme provides a more accurate estimate of the user SINR by taking better account of the contribution of inter-cell interference. It builds on top of the current SINR measurement scheme by using a combination of pilot measurement and traffic load measurement

kalman filter通熟易懂，可以快速理解卡尔曼滤波器的原理(kalman filter through the familiar and easy to understand, you can quickly understand the principle of the Kalman filter)

适合刚搞Matlab的菜鸟学习 适合刚搞Matlab的菜鸟学习(Discrete Fourier Transform Discrete Fourier Transform)

This utility provides a powerful zooming tool specially designed for the documentation of original and zoomed 2D graphics of images on the same plot. It is composed of two blocks (the secondary axes and the magnifier). The secondary axes, which can be arbitrarily allocated within the limits of the figure, displays the area marked by the magnifier. The highly versatile interface of the on-figure magnifier offers a world of possibilities in a broad range of applications and fields. The Keyboard/mouse or programmatic configuration of this tool allows the user to set her or his own graphic style, to suit the requirements of any publication s editor. More details on interfacing and properties can be found in the .m file.

由粒子群算法寻优，标准粒子群算法的实现，可实现标准全局版粒子群算法的单步更新位置速度的功能(The particle swarm optimization algorithm by, the standard particle swarm algorithm implemented )

自适应动态规划,数据驱动模型，神经网络，最优跟踪控制，鲁棒控制 Data-Driven Robust Approximate Optimal Tracking Control for Unknown General Nonlinear Systems Using Adaptive Dynamic Programming Method(Adaptive dynamic programming, data-driven model, neural networks, optimal tracking control, robust control.)

12.1 图像点的运算 12.1.1 线性点运算 12.1.2 非线性点运算 12.2 图像的算术运算 12.2.1 加法运算 12.2.2 减 法运算 12.2.3 乘法 运算 12.2.4 除法 运算 12.2.5 其它运算 12.3 图像的位逻辑运算 12.4 图像的几何运算 12.4.1 图像插值 12.4.2 图像缩放 12.4.3 图像旋转 12.4.4 图像剪切 12.5 空间变换 12.5.1 仿射变换（ affine transformation ） 12.5.2 透视变换 (Perspective Transformation) 12.5.3 空间变换的 MATLAB 函数 12.5.4 空间变换实例 12.6 图像融合 12.7 邻域与块操作 12.7.1 邻域操作 12.7.2 图像块操作 12.8 区域处理 12.8.1 区域选择 12.8.2 区域滤波 12.8.3 区域填充(12.1 image point arithmetic 12.1.1 computing linear point 12.1.2 nonlinear point operations 12.2 image adder computing 12.2.1 Arithmetic 12.2.2 subtraction multiplication 12.2.3 computing division 12.2.4 computing 12.2.5 other computing 12.3 Image 12.4 Image-bit logic operations geometric computing 12.4.1 Image Interpolation 12.4.2 image scaling 12.4.3 image rotation 12.4.4 Shear Image 12.5 Space Conversion 12.5.1 affine transformation (affine transformation) 12.5.2 Perspective Transform (Perspective Transformation) 12.5.3 space transform space transform MATLAB function 12.5.4 Examples 12.6 Image Fusion 12.7 Neighborhood and Block Operation 12.7.1 Operation 12.7.2 neighborhood image processing block operation 12.8 Regional 12.8 area selection 12.8.1. 2 regional filtering area filling 12.8.3)

说明：  RS编译码原理基于MATLAB仿真程序 举例(RS encoding and decoding principle is based on MATLAB simulation program example)

实现了两步相移的基于随机相位掩码的图像加密和解密(To achieve a two-step phase shift mask image based on random phase encryption and decryption)