imagecodelist

　　本文提供了一个分析　　复杂的动态显示当前模式控制　　开关电源转换器。电流型控制的提高　　转换器与非线性分析和研究　　离散建模方法已被使用。通过改变　　电路参数、混乱和复杂的行为　　分歧发生在开关电源转换器。为　　增加稳定period-l操作范围,坡道　　已经被改变其使用和补偿方法　　转换器的边坡,其效果将被显示。最后, 　　最大平均Iyapunov指数不同的斜坡上　　审查和模拟。(The present article provides an analysis of complex dynamics displayed by current mode controlled switching dc-dc converter. Current-mode controlled boost converter has been studied with nonlinear analysis and the discrete-time modeling approach has been used. By changing circuit parameters, complex behaviors like chaos and bifurcation occur in the switching dc-dc converter. For increasing stable period-l operation range, the ramp compensation approach has been used and by changing its slope, its effect in the converter will be shown. Finally, the largest average Iyapunov exponent for different slopes is reviewed and simulated)

此程序主要是用Matlab进行点云数据的三维建模，对用Matlab进行三维重建有实用价值。 (The procedure is to use Matlab for modeling three-dimensional point cloud data on the three-dimensional reconstruction with Matlab has practical value.)

灰色系统的MATLAB程序：用于实现灰色预测，适合初学者。(Gray system MATLAB program: to achieve gray prediction for beginners.)

本文章详细介绍了PLSR片最小二乘回归的原理，以及如何用matlab源代码实现PLSR建立回归模型，以及交叉检验，得到最优模型。(This article describes in detail the principle of least squares regression PLSR piece, and how to use matlab source code PLSR regression model, and cross-examination, the optimal model.)

this function is used for resizing the cropped images got the process of character extraction for the first step of build a ANN. This is useful because it can resize a lot of images in one folder.

MODEL modeling system markov FOE DOC DOCTOR

cognitive radio energy detection

用最速下降法求解多维函数的极值 function [x,minf]=minFD(f,x0,var,eps) 目标函数：f 初始点：x0 自变量向量：var 精度：eps 目标函数取最小值时的自变量值：x 目标函数的最小值：minf( With the steepest descent method for solving the multi-dimensional function of the extreme value function [x, minf] = minFD (f, x0, var, eps) target function: f Initial Point: x0 argument vector: var Accuracy: eps target function takes the minimum value of the independent variable values: x minimum target function: minf)

稀疏性最小二乘支持向量机，针对最小二乘支持向量机缺少稀疏性的问题，以特征提取为基础提出具有稀疏性解的最小瓶二乘支持向量机(Sparsity LSSVM for LSSVM lack sparsity issues to feature extraction is proposed based on the solution of sparse least squares support vector machine bottle)

说明：  对s进行小波分解，提取小波分解的低频系数，提取小波分解的各层高频系数，绘出各系数的图形(Wavelet decomposition of the s to extract the low frequency coefficients of wavelet decomposition to extract the layers of high-frequency coefficients of wavelet decomposition, the coefficients of the graphics drawn)