好用的基于神经网络的人脸识别源程序

moro转换算法，将0-1均匀分布转换为标准正态分布(moro conversion algorithm will convert the 0-1 uniform distribution to standard normal distribution)

说明：  在含出差的粒子滤波中加入不同权函数，分析基于何种权函数的粒子滤波更为可用(The Comparative Study Based On Robust Particle Filter of Different Weight Function)

说明：  使用matlab实现最小均方算法，画出了权值迭代图和搜索过程图。(Realized least mean-square algorithm（LMS）by using matlab, drawed the right value iteration figure and search process maps.)

说明：  基于模型聚类算法的matlab实现 This does the entire MB Clustering given a set of data. It only does the 4 basic models, unequal-unknown priors. It returns the BESTMODEL based on the highest BIC.(model-based clustering algorithm to achieve the Matlab This does the entire MB Clustering given a set of data. It only does the 4 basic models, unequal-unknown priors. It returns the BESTMO DEL based on the highest BIC.)

用工字型差分格式解拉普拉斯方程，简洁具体，效率高 (Employment the fonts differential format solution of the Laplace equation)

用模糊控制方式控制锅炉水位，用模糊控制方式控制锅炉水位(Using fuzzy control of boiler water level control with fuzzy control of boiler water level control)

MATLAB学习的基础资料，便于初学者快速查找各类函数(Biography MATLAB learning easy for beginners to quickly find all types of functions)

这是关于机器人路径规划的遗传算法代码.代码简单实用，非常适合初学者学习参考。(This is the code genetic algorithm of robot path planning. )

In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.

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