matlab-signal-process

说明：  IIR低通数字滤波器在MATLAB中的设计方法(Low-pass IIR digital filter design in MATLAB method)

这是一本研究目标定位跟踪的学习手册（在雷达，声纳，无线传感器网络领域等），采用的方法有最小二乘/极大似然，卡尔曼滤波，蒙特卡洛，粒子滤波等方法，更是很多读者需要的是里面有大量的仿真实例和程序代码，并配以中文注释，读者可以结合书中的原理和公式，对程序有进一步的理解。也适合很多读者在已有的代码的基础上对算法进行改进。(This is a study targeting the learning manual tracking (radar, sonar, wireless sensor networks, etc.), using the least squares method/maximum likelihood, Kalman filtering, Monte Carlo, particle filtering methods , but many readers need is there are a large number of simulation examples and program code, and with Chinese notes, the book the reader can combine the principles and formulas, a better understanding of the program. Also suitable for many readers on the basis of the existing code to improve the algorithm.)

说明：  基于matlab平台的海明码例程，自带人机交互图像界面(Hamming code routine based on MATLAB platform, with man-machine interactive image interface)

DSP理论分析以及MATLAB详细程序实例 非常不错(DSP theory analysis and MATLAB examples of detailed procedures)

数值解法 例1 用改进的欧拉方法求一阶方程初值问题的 数值解 例2 数学摆的运动方程与近似方程数值解比较 例3 四阶龙格库塔公式求数值解 Matlab实现求数值解 例1 求初值问题y =x*sin(x)-y,y(0)=0的数值 解.先编辑一个定义方程的ODEF函数文件 ODEfun1.m. 例2 求方程组初值问题的数值解,按指定步长 0.05划分节点. 例3 按指定的精度求高阶方程初值问题的数值解.(Numerical Solution of the law a method of using the improved Euler' s equation of order to a first-order initial value problem of the numerical solution of cases of two mathematical pendulum equations of motion compared with the approximate numerical solutions of equations of three cases of fourth-order Runge-Kutta numerical solution of the formula Matlab order to achieve the numerical solution of demand cases seeking an initial value problem y ' = x* sin (x)-y, y (0) = 0 the numerical solution. first, the definition of an equation editor ODEF function file ODEfun1.m. cases of two demand equations initial value problem of numerical solution, according to the specified division of the node step 0.05. Example 3 according to the specified precision of seeking higher-order equation of the numerical solution of initial value problem.)

kalman filter for state space model using Gaussian distribution

Visual C++ 与Matlab混合编程，可以让Visual C++程序员快速进行matlab编程(Visual C++ with matleb combine pragraming )

最速下降法,是一种最优化的算法，针对无约束的优化问题有效(Steepest descent method, an optimization algorithm is effective for unconstrained optimization problems)

二相编码信号的三次相位函数的matlab程序，自己编的，希望大家批评指正(cubic phase function of BPSK)

黑箱优化算法，挺不错的，希望大家喜欢(Black-box optimization algorithm, very good, and I hope everyone likes)