MATLABfunctionofimageProcessing

求解平方根的改进算法，运用U(k,i)=U(k,i)-U(q,k)*U(q,i)/U(q,q)；L(i,k)=U(k,i)/U(k,k)(An improved algorithm for solving square root, the use of U (k, i) = U (k, i)-U (q, k)* U (q, i)/U (q, q) L (i, k) = U (k, i)/U (k, k))

Harada book simulation chapter 2

说明：  Matlab 神经网络离散PID控制实例，在Simulink环境中搭载仿真模块即可实现，结果图效果不错(Matlab neural network PID control of discrete examples, in the Simulink environment with simulation module can be realized, the results of Fig good results)

一种新的协同进化优化算法处理图像的方法，很好，能运行！！( A new coordination method, image processing algorithm in evolutionary optimization is very good, can run )

Alnoldi decomposition of matrix used for computing AX =b solution

Prentice Hall Book----"Mathematical Methods and Algorithms for Signal Processing" matlab 源代码(Prentice Hall Book----"Mathematical Methods and Algorithms for Signal Processing" matlab source code)

This file is the programs of (chapter 9) of book (Modeling the Wireless Propagation Channel a Simulation Approach with MATLAB) which is related The Land Mobile Satellite Channel. It helps you to simulate The Land Mobile Satellite Channe.

用matlab实现的pca算法，用于将维，适用于各种种试验，如人脸识别程序源码 (Achieved using matlab pca algorithm for peacekeeping, applicable to various types of tests, such as face recognition program source code)

Simulate queueing In queueing theory, a discipline within the mathematical theory of probability, an M/M/1 queue represents the queue length in a system having a single server, where arrivals are determined by a Poisson process and job service times have an exponential distribution. The model name is written in Kendall s notation. The model is the most elementary of queueing models[1] and an attractive object of study as closed-form expressions can be obtained for many metrics of interest in this model(In queueing theory, a discipline within the mathematical theory of probability, an M/M/1 queue represents the queue length in a system having a single server, where arrivals are determined by a Poisson process and job service times have an exponential distribution. The model name is written in Kendall s notation. The model is the most elementary of queueing models[1] and an attractive object of study as closed-form expressions can be obtained for many metrics of interest in this model)

在一个移动通信系统中，发射信号是一个未调制的音频x(t)=cos(2πft)，其中f=f0+fi。设标称载波为f0=1GHz，并设fi =512Hz。假定移动用户在一个繁忙的高速公路上距离基站l公里处的地方，从开始从每小时60公里的速度开始，其速度（在0.01秒的时间间隔内测量）以1/2的概率随机的增加或减少1/10公里每小时。试仿真移动用户在这2s的时间间隔内所接收到的信号(及其频谱)。接收信号可以表示为： y(t)=a(t)Cos[2π(fo+f1)(t-△t)] 式中 △(t)=d(t)/c 且 a(t)=k/d2(t) 在上面的表达式中d(t)是在t时刻基站与移动用户的距离，c是光速，△(t)是传播延迟，而a(t)是信号在t时刻的衰减，并假设在这2s内a(t)是一个常数。利用复低通等效模型来进行仿真。(In a mobile communication system, the transmitted signal is an unmodulated audio x (t) = cos (2πft), where f = f0+ fi. Let nominal carrier of f0 = 1GHz, and set fi = 512Hz. Assume that mobile users on a busy motorway station l kilometers place, starting the beginning of 60 kilometers per hour, the speed (measured in 0.01 second interval) to increase the probability of a random 1/2 or reducing 1/10 km/h. Simulation test signal which the mobile subscriber in the 2s time intervals of the received (and its spectrum). The received signal can be expressed as: y (t) = a (t) Cos [2π (fo+ f1) (t- △ t)] Where △ (t) = d (t)/c And a (t) = k/d2 (t) In the above expression, d (t) at time t is a base station and a mobile user s distance, c is the speed of light, △ (t) is the propagation delay, and a (t) is the attenuation of the signal at time t, and assuming that 2s within a (t) is a constant. Using complex low-pass equivalent model for emulation.)