cost207

本文档是一个相关函数与协方差函数的计算函数(This document is a correlation function with the covariance function calculation function)

Bayes分类器设计,对模式识别有一个初步的理解，能够根据自己的设计对贝叶斯决策理论算法有一个深刻地认识(Bayesian classifier design, pattern recognition to a preliminary understanding, According to the design of Bayesian decision theory algorithm has a profound understanding)

使用matlab工具解洛伦兹方程的runge-kutta方法(matlab solution of Lorenz equations)

说明：  标准的粒子群优化算法程序，用Matlab编程。(Particle swarm algorithm (matlab))

说明：  用matlab实现信号系统及系统响应，采取界面编程，功能有时域采样分析，卷积验证，启动相应(Using matlab signal system and the system response, to take programming interface, the functional domain sampling and analysis in some cases, convolution verify, start the corresponding)

Mahafza的使用matlab的雷达信号分析和处理，很好的书，书中有很多matlab的例子(Mahafza use matlab radar signal analysis and processing, very good book, the book has many examples of matlab)

Verlet Method for solving pendulum differential equation in polar coordinates.

Function used by PSOLA speech modification technique. Finds exact point of pitch pulses in speech.

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 )

Fisher、H-K、Perceptron算法实现线性判别函数(Fisher, HK, Perceptron algorithm linear discriminant function)