Stark-code

本文采用Fibonacci算法计算已知式子的最值并找到此时自变量的值(In this paper, formula known Fibonacci algorithm to find the best value and the value of the independent variables at this time)

matlab关于神经网络的全面教程（附源代码）(Matlab on Neural Networks comprehensive tutorial (source code))

arcserver+C#，实现空间属性查询，刘光出版书本源代码参考(arcserver+C#, spatial attribute query, Liu publishing source code reference books)

说明：  covariance code for cr

说明：  uwb中的矩形波的产生，估计带宽，产生固定持续时间的波(the rectangular wave, an estimated bandwidth, have a fixed duration of the wave)

filter.. desing of filter..

介绍星座图的产生极其原理，可以加深对星座图的理解(introduce Constellation)

8个单元的载波移相SPWM仿真程序。参数已经调好，用于理解载波移相的原理。(8 units of the carrier phase shifting SPWM simulation program. Parameters have been adjusted for the understanding of the principles of the carrier phase shift.)

数值微分通过matlab实现，对于初学者非常有用。从书上下载的源代码。(Achieved by numerical differentiation matlab, very useful for beginners. Downloaded from the book source code.)

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)