HT_identification

HHT MATLAB CODE HHT是一個客觀而有自適性(adaptive)的數據分析方法。它利用物理空間的尺度為基準分解複雜數據，因此各分量皆有豐富的物理意義。由於它有自適的特性，它可以適用於分析非線性，非穩定性過程所產生的數據。經過近數年來的廣泛研究與應用，HHT已被認定為是一個有革命性又有效的方法。(HHT MATLAB CODE)

说明：  这是一各关于线性判别函数分类的MATLAB程序，希望对大家的学习有所帮助(This is the one on the linear discriminant function classification MATLAB program, and they hope to learn from everyone)

实现基于Robinson算子的边缘检测功能，该算法比传统的算法具有更好的边缘检测效果(Achieve the function of edge detection based on Robinson operator, the algorithm than the traditional edge detection algorithm has a better effect)

超实用的matlab函数使用文档说明,有很多哦~,分几个包上传..4-2(ultra-practical use of Matlab function documents show that there are many-oh, a few hours .. 4-2 Upload Packet)

说明：  image segmentation using matlab

说明：  主要用于潮流计算，可以设置多平衡节点fgfgfgfg(yhuhgfjhgjhgjhg)

计算物理方法教案，可以用学习处理物理问题的数学方法，对编程大有帮助(Methods of Computational Physics lesson plans, can learn to deal with the problem of mathematical physics, on the program go a long way)

The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective. (The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller (FCMAC) is proposed to control this cable compensation system. In FCMAC, without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.)

An MPI-CUDA Implementation and Optimization for Parallel Sparse Equations and Least Squares (LSQR)

用matlab实现的医学图像分割算法，（分割最佳阈值的迭代算法）代码， 可适合初学者使用，并有图。(Using matlab to achieve the medical image segmentation algorithm, (partition optimal threshold of iterative algorithm) code which may be suitable for beginners to use, and map.)