基于分形理论的电树枝物理现象的计算机仿真研究Electrical-Treeing-Simulation

捷联惯性导航源程序，希望对您您有所帮助。谢谢大家可直接使用。 (Strapdown inertial navigation source, you help you. Thank you all can be used directly.)

基于增广矩阵束的L型阵列的二维DOA估计MATLAB程序(Based on the augmented matrix L-shaped beam two-dimensional array DOA estimation MATLAB program)

高加速寿命试验（HALT）的相关知识与文章，可帮助硬件开发人员提高产品的可靠性与寿命，大大缩短开发周期(Highly Accelerated Life Test (HALT) of the relevant knowledge and articles that can help hardware developers to improve product reliability and service life, greatly shorten the development cycle)

说明：  Example of Back Propagation Algorithm

Equalizacao Histograma

求梅尔倒谱系数的matlab程序，主程序是melcepst。(Mel Cepstrum Coefficients seeking matlab program, the main program is melcepst.)

implementation of grid word problem-classic problem in machine learning coarse

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

说明：  插值程序，很有用的。大家来看看啊。哈哈，多多支持啊。(Interpolation procedure, very useful. We Laikankana. Haha, the generous support ah.)

是基于主成成分和核主成成分的实例，有详细的注解，条理清晰易懂，适合初学者对pca与kpca的学习。(Is based on the principal as the main components and nuclear components as examples of the comments in detail, the clarity of easy-to-understand for beginners and pca learning kpca.)