Sobel-operators-(1)

As an industry-leading supplier of universal asynchronous receiver/transmitters (UARTs), Texas Instruments provides products designed to improve system performance and meet the needs of next-generation applications.

help file for matlab chm

MPC5606的 DMA开发 负责吧数据从变量搬运出去(development DMA )

城市规划计算机仿真，元胞自动机，MATLAB实现(Urban planning computer simulation, cellular automata, MATLAB implementation)

非线性方程组的一般解法，matlab用~(FXZXEC( Property , Value ,...) creates a new FXZXEC or raises the existing singleton.Starting from the left, property value pairs are applied to the GUI before fxzxec_OpeningFunction gets called. An unrecognized property name or invalid value makes property application stop. All inputs are passed to fxzxec_OpeningFcn via varargin.)

用ica进行信号处理，能有效的分离出源信号(Ica with the signal processing, can efficiently separate the source signals)

matlab生成word文档，文件名为测试.doc，并插入了表格和图片(generate word document)

案例设计源程序，matlab动态创建控件，有函数有界面的设计(Case design source, matlab dynamically created controls, there are functions with interface design)

复变量方法的拓扑优化matlab程序，从最基础的帖木金科梁来说明复变量方法的可行性。(Topology optimization of complex variable method matlab program, the most basic to illustrate the feasibility of Tamerlane 金科梁 complex variable methods.)

lingjian.m-----蒙特卡罗方法 lingjian.m使用零件初始值，用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。 accyouhua为标定值的函数，而lingjian不是一个函数，在其中已给出了一组标定值的值。 退火确定标定值/unitanneal()----模拟退火 连续型多个变量组合优化问题 这是对模拟退火方法的一次练习，结果证明模拟退火确实是一个行之有效的方法。 当参数选择较好时（一般也伴随着运行时间的加长），模拟退火的结果较好，然而用MATLAB的FMIMCON()一般可达到更高的精度。(lingjian.m----- Monte Carlo method lingjian.m part the initial value, using the Monte Carlo method to calculate the total cost. The use of the preparation of their own normal distribution random number generator to produce a normal distribution of random numbers. lingjian.m yes to the first practice of the Monte Carlo method. accyouhua calibration function, and lingjian is not a function, which has given the value of a set of calibration values​ ​ . Annealing to determine the calibration value/unitanneal ()---- Simulated Annealing Combinatorial optimization problem of continuous multiple variables This is a practice of simulated annealing method, the results show that simulated annealing is an effective method. Parameter selection is better (usually accompanied by longer running time) the results of simulated annealing, however the MATLAB FMIMCON () generally achieve higher accuracy. )