ParticleFilter

基于3Gpp 标准化的 卷积码译码算法matlab程序(Convolutional decoder for 802.16)

神经网络算法30例，里面是完整的，主要包含神经网络算法和聚类、灰色等。(30 cases of neural network algorithm, the inside is complete, mainly includes neural network algorithm and clustering, grey, etc.)

卷积编码器g1=111,g2=101 x为输入的待译码序列 x=[1,0,1,0,0,1,0,0,0,1,0,1,1,1] x=[1,1,0,1,0,1,1,0,0,1] x=[1,1,1,0,0,0,1,0,1,1] a=size(x) 输入序列的长度 s=a(2)/2 译码后的m序列长度为x的一半 m=zeros(1,s) 最终结果存放 ma=zeros(1,s+1) 存放Fa路径的 mb=zeros(1,s+1) 存放Fb路径的 mc=zeros(1,s+1) 存放Fc路径的 md=zeros(1,s+1) 存放Fd路径的(viterbi decoder)

说明：  如果对实际工程结构作简化处理，建立其动力学模型，并确定系统的质量、刚度、阻尼参数，便可以用多种方法建立系统的动力微分方程。常用的方法有直接 法、影响系数法、拉格朗日法以及有限元法等。拉格朗日法是从能量的观点建立系统的动能T、势能U和功W之间的标量关系，是研究静、动力学问题的一种方法。如果在选定运动坐标以后，能够设法求得坐标相对应的质量矩阵和刚度矩阵，就可以用影响系数法建立多自由度系统运动微分方程[4]。本文采用拉格朗日法建立了1/4车辆几何模型。(If the actual engineering structure is simplified, its dynamic model is established, and the mass, stiffness and damping parameters of the system are determined, the dynamic differential equation of the system can be established by various methods. The commonly used methods are direct method, influence coefficient method, Lagrange method and finite element method. Lagrange method is a method to study the static and dynamic problems, which is to establish the scalar relation among kinetic energy t, potential energy u and work W from the point of view of energy. If the mass matrix and stiffness matrix corresponding to the coordinates can be obtained after the motion coordinates are selected, the differential equation of motion of the multi degree of freedom system can be established by the influence coefficient method [4]. In this paper, 1 / 4 vehicle geometry model is established by Lagrange method.)

This program places dates on time axis as DATETICK and works with ZOOM and PAN as DATETICKZOOM by Christophe Lauwerys. But, it also shows the full date after zooming or panning by using the ticks and time-axis label. So, if you zoom in down to second, you won t loose "when" you are. The input arguments are equal to those of DATETICK function, but if more than one axis handle is specified, they all will be LINKED! Also, some other options are available, for example, the use of LOCAL LANGUAGE for the months (default), or the use of an specific date format: DD HH:MM SS.FFF for example. Besides, sometimes with DATETICK you don t get optimal results. This program (try to) fix this problem. Just use it after some plot function with days (see DATENUM) in one of his axis (time-axis): t = linspace(0,1) + now x = rand(size(t)) plot(t,x) axis tight tlabel <---- Enjoy it! Bugs reports and suggestions will be very appreciated! (This program places dates on time axis as DATETICK and works with ZOOM and PAN as DATETICKZOOM by Christophe Lauwerys. But, it also shows the full date after zooming or panning by using the ticks and time-axis label. So, if you zoom in down to second, you won t loose "when" you are. The input arguments are equal to those of DATETICK function, but if more than one axis handle is specified, they all will be LINKED! Also, some other options are available, for example, the use of LOCAL LANGUAGE for the months (default), or the use of an specific date format: DD HH:MM SS.FFF for example. Besides, sometimes with DATETICK you don t get optimal results. This program (try to) fix this problem. Just use it after some plot function with days (see DATENUM) in one of his axis (time-axis): t = linspace(0,1)+ now x = rand(size(t)) plot(t,x) axis tight tlabel <---- Enjoy it! Bugs reports and suggestions will be very appreciated! )

this is code for Distance Regularized Level Set Evolution and Its Application to Image Segmentation paper. I used this code and it was correct and have true answers.

SVM神经网络的回归预测分析---上证开盘指数预测,matlab的经典算法(SVM neural network regression analysis--- Shanghai opening index prediction, matlab classical algorithm)

MOBP的代码。3层网络，隐节点数可以任意改变，没有使用工具箱。(MOBP code. Layer 3 network, hidden nodes can be changed arbitrarily and without using the Toolkit.)

两篇中文论文，详细叙述了Farrow滤波器的设计方式和理论基础，非常实用！(Two Chinese papers, described in detail Farrow filter design methods and theoretical foundation, very useful!)

通过DLA算法计算产生分形，可通过控制黏贴概率来控制分形维度(Generated through the DLA fractal algorithm, the probability of adhesive can be controlled to control the fractal dimension)