Untitledfudian

数据隐藏，做为一中隐蔽、嵌入的形式， 可以进行数字媒体数据的识别，注释和版权保护。(Data hiding,a form of steganography,embeds data into digital media for the purpose of identification,annotation,and copyright.)

说明：  介绍广义软件人的概念及其发展趋势，“软件人”不仅具有无形、静态“软件人”的特征和功能，而且具有拟人外部和内部动态特征和功能，具有拟人的动态特性与行为。(Generalized Soft Man)

汽车高斯曲面拟合 --- 2程序，以适应到表面二维高斯： 子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的 这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。 autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种(Auto Gaussian Surface fit --- 2 routines to fit a 2D Gaussian to a surface: zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit. autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals))

Economic load dispatch using genetic algorithm source code

说明：  matlab的几个文件算法能实现图像分割，例如分水岭算法等,区域生长法等。(It can realize image segmentation, such as watershed algorithm and so on.)

to sparsify an image

用matlab 来实现用遗传算法解决tsp问题。(Using matlab to achieve using genetic algorithms to solve the problem tsp.)

有关matlab的数据和函数可视化部分内容，与数值计算部分相衔接(Matlab data and functions related to the visual part of the content, and the numerical part of the convergence)

说明：  mann kendall 趋势检验matlab程序(mann kendall trend test matlab program)

利用matlab6.5软件实现图像处理，里面共有十七章，讲述了matlab在图像处理方面的不同应用的实现(Matlab6.5 software using image processing, which a total of 17 chapters, describes the matlab image processing in the realization of different applications)