chapter3tfgp

使用此函数来提取一个地理坐标输入字符串了。该功能非常灵活，因此，协调可能位于任何地方的字符串，并可能有许多的格式之一。 例子： txt2coord（ 100 ° 7 30“宽 ） txt2coord（ 100 ° 7 30 w 的） txt2coord（ -100 ° 7 30“ ） txt2coord（ 100 ° 75 w 的） txt2coord（ 100 .125 °以西 ） txt2coord（ 喇嘛100 °，7分钟 30 S喇嘛 ） txt2coord（{ 100 .125 ° w 的 -100.125 ° }） 所有指定的例子得出正确的结果（-100.125）。 我已经成功测试了多种不同的投入这一点。然而，正则表达式，这是在该文件中使用广泛，...嗯...他们有时有一个有趣的方式展示你，你没有带他们出去尚未完全想通。因此，我强烈建议你使用它之前的一些performe此功能完整性检查和将不胜感激，如果你向我报告任何错误。 (Use this function to extract one geographical coordinate out of an input string. The function is extremely flexible, thus the coordinate may be located anywhere in the string and may have one of many formats. Examples: txt2coord( 100° 7 30" W ) txt2coord( 100° 7´ 30´ ´ W ) txt2coord( -100° 7` 30" ) txt2coord( 100° 7.5 W ) txt2coord( 100.125° west ) txt2coord( bla 100°, 7min 30´ ´ S bla ) txt2coord({ 100.125° W -100.125° }) All specified examples yield the correct result (-100.125). I have successfully tested this with various inputs. Yet, regular expressions, which are extensively used in this file, ... well ... they sometimes have a funny way of showing you that you havn t quite figured them out yet. Therefore, I would strongly advice you to performe some sanity-check on this function before using it and would be greatful, if you report any bugs to me. )

this is exemple simple modulation psk and bpsk

感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 (PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init_model) Description: model = perceptron(data) uses the Perceptron learning rule to find separating hyperplane from given binary labeled data. model = perceptron(data,options) specifies stopping condition of the algorithm in structure options: .tmax [1x1]... maximal number of iterations. If tmax==-1 then it only returns index (model.last_update) of data vector which should be used by the algorithm for updating the linear rule in the next iteration. model = perceptron(data,options,init_model) specifies initial model which must contain: .W [dim x 1] ... normal vector. .b [1x1] ... bias of hyperplane. .t [1x1] (optional) ... iteration number. Input: data [struct] Labeled (binary) training data. .X [dim x num)

有限差分求burgers方程...LAX-FRIEDRICH(Finite difference burgers was not beg equation )

AU3脚本语言 基本语法学习 对于学习au3的或许有些帮助(AU3 script language to learn basic grammar, perhaps for some help learning au3)

利用高斯核自行完成高斯平滑。 1.gkernel.m: 创建高斯核。 2.getnorm.m: 将高斯核归一化以求得该核的图像 3.convo.m：不用自带函数求卷积 4.conducting.m: 举例执行程序(1.gkernel.m: Buidling Gaussian kernels. 2.getnorm.m: Normalizing Gaussian kernel in order to display the kernel. 3.convo.m: calculating the convolution. 4.conducting.m: conducting the program with some examples.)

matlab时频分析工具箱，分析信号时频特性。(Matlab time-frequency analysis toolbox, analysis of the time-frequency characteristics of the signal.)

层次分析法（AHP）是进行评估的一种常用方法，其中层次分析法中求随机一致性指标是该方法的关键一步。本程序即实现的求解PI的程序(AHP is a common method of assessment, in which AHP seek random consistency index is a key step in the method. This procedure that is implemented procedures for solving PI)

降维工具箱，有PCA，LDA等等比较全面，里面有说明。(Dimensionality reduction toolbox, PCA, LDA, and so a more comprehensive, there are instructions.)

作者通过matlab编程，对遗传算法进行了演示。遗传算法是一种全局优化算法，不仅对单个算法可以进行优化，也可以对多个算法进行组合优化。(Author through matlab programming, genetic algorithm demo. Genetic algorithm is a global optimization algorithm, not only for a single algorithm can be optimized, you can on a number of combinatorial optimization algorithm.)