nco_program

粒子滤波算法在非线性系统中得到了广泛的应用，其精度取决于目标概率函数和重要性函数是否相近，并且样本退化问题也影响了算法的性能。针对粒子滤波算法中样本退化的问题，本文提出一种基于奇异值分解的粒子滤波算法。该算法通过使用奇异值分解方法得到的重要性概率密度函数更接近于目标概率分布，降低样本退化的影响，提高了滤波器的精度，然后在列车组合定位系统的数学模型中应用该算法进行仿真实验。 (Particle filter algorithm for nonlinear systems is widely used, its accuracy depends on whether the target probability function and importance of the functions are similar, and sample degradation also affects the performance of the algorithm. For particle filter algorithm sample degradation problem, this paper proposes a particle filter algorithm based on singular value decomposition. The algorithm by using singular value decomposition of the importance of the probability density function method to get closer to the target probability distribution, reduce sample degradation, improve the accuracy of the filter, and then apply the algorithm in combination mathematical model train positioning system simulation experiments. The simulation )

it is the best programe in matlab you can trait aplication whith the most faimous way bit we cant my you herlp me to do it rait

说明：  用多层前向网络的BP算法拟合函数 说明：1）网络结构为三层（输入层、1个隐层和输出层）； 2）获取两组数据，一组作为训练集，一组作为测试集； 3）用训练集训练网络； 4）用测试集检验训练结果。(Fitting the function with BP algorithm of multilayer forward network)

说明：  放大转发（DF）matlab环境下的通信系统仿真(Amplify and forward (DF) Matlab environment communication system simulation)

matlab实现beyes的模式识别的过程，是武汉大学遥感学院模式识别的代码(matlab realize beyes pattern recognition process, Wuhan Institute of Remote Sensing pattern recognition code)

For location of fault in transmission line

K-means聚类程序，可用于聚类问题，自动产生大量数据，生成聚类图片(K-means clustering program, can be used for clustering problems, automatically generate large amounts of data, generate clustering images)

外螺旋矩阵的递归和非递归C编程方法 笔试中经常出现的题(Spiral Matrix outside the recursive and non recursive methods written in C programming problems often appear in)

二进制移相键控，八进制移相键控和多进制移相键控的matlab源代码(2psk,8psk and Qpsk souce codes)

用于BP的分类识别，训练，附有后期读写程序，检测数据。(Classification for BP, the training, with the latter literacy program, test data.)