xianxingshenjingwangluo4

substitution cipher is the method of encoding in which unit of plain text are replaced by cipher text. Monoalphabetic cipher uses a fixed message over entire message.A monoalphabetic cipher uses fixed substitution over the entire message.The monoalphabetic substitution takes a letter of an alphabet and substitutes it with another letter, this way a ciphertext is generated. The way of converting is fixed. A character of the plaintext will be replaced by the same ciphertext character, during the entire ciphertext. There is no additional key. The only way of security is to keep the substitution-table secret. A popular example for the monoalphabetic substitution is the caesar cipher.

用matlab编写的程序，关于MATLAB图像处理的中计算图像的欧拉数。(Matlab program, about calculation in matlab image processing of the euler number of image。)

基于matlab的神经网络训练程序，用于模式分类，适合初学者，直接运行即可(Matlab neural network-based training program for pattern classification, suitable for beginners, can be run directly)

DBN的实现（DeepLeranToolBox）举例(an example for DeepLeranToolBox)

simulate the ofdm system

mathlab inversion sample for example analysis to carryout

数值分析中几种常用的插值算法的matlab源程序。(Numerical analysis of several commonly used source matlab interpolation algorithm.)

Matlab prepared, EM estimation procedures, simple and understandable.

说明：  仿真螺旋交织器系统。要求将得到的整数序列放置在三个工作空间中并输出值。观察交织后数值的可视化变化规律。螺旋交织器模块参数：螺旋排列列数3；组的大小2；螺旋排列的跳步1；初始条件0。螺旋解交织器参数设置同螺旋交织器。斜坡函数模块参数：斜率1；开始时间0；初始输出1；矢量参数一维。缓存器参数：输出缓存长度6；缓存交叠0；初始条件0。仿真系统中的时延参数为7。(Simulation of helical interleaver system. Requirements will be placed in the three integer sequences and the output value of the workspace. Values observed after mixed visual variation. Helical interleaver module parameters: the number of columns 3, spirally arranged group size 2 spiral arrangement of jump 1 initial condition 0. Deinterleaving parameters set screw with helical interleaver. Ramp function module parameters: slope 1 start time 0 initial output 1 one-dimensional vector parameter. Buffer parameters: the length of the output buffer 6 cache overlap 0 initial condition 0. Delay parameter in the simulation system 7.)

Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]