paper3

this program helps you to perform signal modeling for AR, MA and ARMA signals

遗传算法解决最短路径问题matlab实现(Genetic algorithm to solve the shortest path problem matlab achieve)

计算高斯伪谱法中的高斯点和微分矩阵，比较慢，求改进(GPM differentiation matrix and Gauss point)

基于Matlab的PCA人脸识别算法，代码注释清楚，实现简单。(PCA face recognition algorithm based on Matlab)

三次样条插值函数边界条件由实际问题对三次样条插值在端点的状态要求给出。以第1边界条件为例，用节点处二阶导数表示三次样条插值函数，用追赶法求解相关方程组。(Cubic spline interpolation function from the real problems of boundary conditions cubic spline interpolation is required to give the state of the endpoint. In the first boundary condition, for example, with a node represents the second derivative of the cubic spline interpolation function, solving equations associated with the catch method.)

Finite Element Programming for Matlab in 2D (Stokes flow)

from abc to dq transform

雷达CFAR技术 恒需警检测代码 杂波背景中区分出有用目标回波的恒虚警(CFAR)检测技术,是直接影响雷达性能的关键(CFAR technique requires constant police radar detection code clutter distinguish the useful target echo CFAR (CFAR) detection technology is the key to directly affect radar performance)

自适应粒子群算法，自适应粒子群算法，在普通的粒子群算法里面加入了熵和平均粒距的概念，收敛速度大大提高，而且不容易陷入局部最优，能更有效的解决复杂问题。(Adaptive particle swarm algorithm, adaptive particle swarm optimization, in which ordinary PSO joined the entropy and the concept of average distance, speed up the convergence, but not easy to fall into local optimum, more effective solutions to complex problems.)

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.)