xbfx

RLS自适应滤波器，实现自适应滤波算法的应用，此过程发现它对自适应滤波的算法与其他的不同之处(RLSAdaptive FilterThe application of adaptive filtering algorithm, the process adaptive filter algorithm that it differs from other )

Implementacao da rede MLP canonica (backpropagation com gradiente descendente) hgjg

SCIG wind turbine modeling in Matlab/Simulink.

全向阵元和有向阵元的模式空间图，有助力于理解宽带波束形成(the mode pattern of ominidirectional array elements and directional array, it is helpful to understand the broadband beamforming)

Diffusion k-tensor Estimation from Q-ball imaging using discretized principal axes

JITL PCA 应用于间歇过程故障诊断(JITL PCA)

《传感器信息融合的matlab程序实现》的相关源代码，非常难得的信息融合代码(matlab coder)

边缘是图像最基本的特征，是图像分割的第一步。经典的边缘检测方法如：Roberts，Sobel，Prewitt，Kirsch，Laplace等方法，基本都是对原始图像中象素的小邻域构造边缘检测算子，进行一阶微分或二阶微分运算，求得梯度最大值或二阶导数的过零点，最后选取适当的阀值提取边界。由于这些算法涉及梯度的运算，因此均存在对噪声敏感、计算量大等缺点。在实践中，发现SUSAN算法只基于对周边象素的灰度比较，完全不涉及梯度的运算，因此其抗噪声能力很强，运算量也比较小。并将SUSAN算法用于多类图像的边缘检测中，实验证明该算法非常适合含噪图像的边缘检测。 2 SUSAN边缘检测简介 (err)

拉普拉斯映射的基本思想是在高维空间中离得 很近的点投影到低维空间中的像也应该离得很近,最终求解归结到图拉普拉斯算子的广义特征值问题,本例为拉普拉斯调用函数,对于学习维数约简的同学或许有帮助.(The basic idea is the Laplace mapping from very near the point of projection in the high-dimensional space as low-dimensional space should be very close, and ultimately solving the generalized eigenvalue comes down to Figure Laplace operator problem, in this case call the function for the Laplace, the learning of students of dimensionality reduction may be helpful.)

This file contains many of source code that including the 1st Chapter book of Simulation Model and analysis, all about single server queuing model