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雪花状的光孤子在空间和时间中独立传播的MATLAB编程。(Snowflake-like soliton in space and time independent transmission MATLAB programming.)

non linear simulation techniques for circuits FDTD

内容如题，是对图像进行GEB分割处理的小例子，希望对大家有帮助(Content such as title, is the image segmentation processing GEB small example, we want to help)

说明：  FNFB模擬，本論文旨在針對一自平衡兩輪電動車，發展兩種智慧適應運動控制策略及其嵌入式控制器研製技術。本文使用三星S3C2410 ARM處理器製作一台嵌入式控制器，用以實現所提的智慧適應型運動控制策略。藉由已發展的非線性數學模型，兩種結合模糊基礎網路(FBFN)之智慧適應型運動控制策略被提出，用以達成速度追蹤與轉向角速度控制。第一種智慧適應型運動控制方法使用模糊基礎網路近似學習模型不確定與時變的摩擦力，而第二種智慧適應型運動控制方法則採用模糊基礎網路直接學習該非線性控制器的能力。電腦模擬及實驗結果證實本文所建立的控制器有能力提供適當的控制動作，使得車體依照駕駛者的需求動作。(FNFB simulationThis thesis develops techniques for intelligent adaptive motion control and implementation of a self-balancing two-wheeled transporter. An embedded controller using Samsung S3C2410 ARM-9 processor is constructed to implement proposed motion control laws. With the nonlinear model of the vehicle, two kinds of intelligent adaptive motion controllers using fuzzy basis-function networks (FBFNs) are respectively proposed to achieve speed tracking )

CVX的使用方法 它是一种很有用的MATLAB设计工具(CVX to use it is a very useful design tool MATLAB)

三维FDTD的UPML吸收边界条件下的C程序(The three-dimensional FDTD UPML absorbing boundary C program)

解线性方程组的直接法（标准数值算法），包括高斯消去法程序、列主元高斯消去法程序、LU分解以及用LU分解求线性方程组、Cholesky分解以及用Cholesky分解求线性方程组、改进的Cholesky分解以及用改进的Cholesky分解求线性方程组、解三对角方程的追赶法。全部为本人原创程序，且全部经过测试无误。共9个MATLAB程序。程序内部含详细注释。(Solving linear equations of the direct method (standard numerical algorithms), including Gaussian elimination procedure, the column pivot Gaussian elimination procedure, LU decomposition and the use of linear equations, LU decomposition, Cholesky decomposition, and find line with the Cholesky decomposition linear equations, Cholesky decomposition and improved using the improved Cholesky decomposition of linear equations, solution of tridiagonal equations pursuit method. All of my original program, and all tested correctly. A total of nine MATLAB. Internal procedures with detailed notes.)

SNM支持向量机预测，回归分析,数据预测。实验验证(SNM prediction, support vector machine regression analysis)

采用MATLAB语言编译的求解线性方程组的迭代法(iterative method of solving linear equations)

隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)