PCAweishu

线性递减pso程序代码，使用时更换目标函数即可(Linear decreasing pso code, replace the objective function can be used)

这个matlab程序能够实现裁剪图像感兴趣区域，适合初学的。(The matlab program to achieve crop the image regions of interest for beginners.)

用于绘制滚动轴承故障的频谱图和包络解谱图，从而判断轴承故障(Used to draw the rolling bearing fault frequency spectrum and spectral envelope solutions, in order to determine bearing failure)

根据潜在震源区数据，利用matlab画第五代潜在震源区图，并在鼠标点击位置编号(According to the potential source area data, using matlab draw fifth-generation potential source area map and click on the mouse position number)

说明：  K-MEAN:经典K均值算法,适用领域：语音识别，图像识别(K-MEAN: classical K-means algorithm, the application areas: speech recognition, image recognition)

dct隐写技术matlab实现资料。算法原理：通过在一个图像块中调整两个DCT系数的相对大小，隐藏秘密信息。 将载体图像分为8×8的块，做二维DCT变换 用来表示选中的两个系数的坐标对于第i bit秘密信息 if（要隐藏信息‘1’） make else make 逆DCT变换，还原图像 (dct steganography matlab implementation information. Algorithm principle: an image block by adjusting the relative size of the two DCT coefficients, hidden secret information. The vector image is divided into 88 blocks, making two-dimensional DCT transform coefficients used to represent the coordinates of the selected two for the first i bit secret information if (to hide information ' 1 ' ) make else make the inverse DCT, restore image)

波束域降阶Root-MUSIC算法,在子阵分解降阶的基础上,进一步将多项式的求根阶次降到与源数目相同,提出了求解降阶多项式的方法。该方法最大程度地减少了求根多项式的阶次和求解多项式的次数,并保持了Root-MUSIC算法的优良性能。显著降低运算量是其最大优点,仿真结果验证了降阶算法的有效性,并比较了不同阶次波束域Root-MUSIC算法的估计性能。 (Beamspace Reduced Order Root-MUSIC algorithm, based on the reduced-order sub-array decomposition further order of the polynomial rooting down with the same number of sources, proposed to solve the reduced-order polynomial method. This method minimizes the number of polynomial order and solving polynomial rooting and maintain the excellent performance of Root-MUSIC algorithm. Significantly reduce the amount of computation is its biggest advantage, simulation results show the effectiveness of the reduced-order algorithm, and compare the performance of different estimates of the order beamspace Root-MUSIC algorithm.)

Tamura纹理特征的matlab实现（二）---对比度(Tamura texture features of the matlab implementation (b)--- Contrast)

利用K近邻法实现数字识别算法。误差小，识别效率高，网络训练速度快。(K-nearest neighbor algorithm, digital identification algorithm. Error is small, high recognition efficiency and speed of network training.)

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))