sp_programs

文具体介绍了有关投影法进行字符分割的程序源码(Text details for the projection of the program source code character segmentation)

This book is an introduction to two subjects: Matlab and numerical computing. This ¯ rst chapter introduces Matlab by presenting several programs that inves- tigate elementary, but interesting, mathematical problems. If you already have some experience programming in another language, we hope that you can see how Matlab works by simply studying these programs.

说明：  基于灰度直方图的分割算法，自己写的，即求灰度直方图的分割算法，珍藏版，可实现。 ( The segmentation algorithm based on gray-level histogram ，Write your own, namely for the graylevel histogram editions of segmentation algorithm, can achieve. )

这是一些文本聚类的matlab函数，是遗传算法过程中的一些常用函数(This is some text clustering matlab function, genetic algorithm is the process of some of the commonly used functions)

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 )

对仿真弹道进行3个参数偏差的蒙特卡罗打靶分析，然后给出置信区间高度等等(THE REAL EXAMPLES)

采用身高和体重数据作为特征，分别假设二者相关或不相关，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则，将该分类器应用到训练/测试样本，考察训练/测试错误情况。(The use of height and weight data as the characteristics of the assumption that the two were related or not related to the normal distribution probability density is estimated under the assumption that the establishment of Bayes minimum error rate classifier, the decision-making rules have been written, the classifier is applied to training/test samples to study the training/testing error conditions.)

完整的NMF算法资料，有说明文件，有代码，也有运行案例。是非常不错的学习NMF的资料。(This is a NMF complete algorithm, including information, documentation, and the code, and also run case. This is a very good learning information of NMF.)

组合导航源码，有助于入门了解GPSins惯性导航(Integrated navigation source code, helps to get to know GPSins inertial navigation.)

说明：  nakagami衰落下，各态历经信道容量、中断容量、反转容量仿真(Simulation of ergodic channel capacity, interrupt capacity and reverse capacity in Nakagami Fading)