shiermaibo2

说明：  这是几篇关于boost电路设计的文章，学习电力电子的人会有所启发和帮助(This is a few articles on the boost circuit design, power electronics people will learn to inspire and help)

Fisher program 图片处理程序，报告搜索Fisher (Fisher program image processing procedures, reports Search Fisher)

《MATLAB统计分析与应用：40个案例分析》源程序 数据(The " MATLAB statistical analysis and application: 40 Case Studies" source data)

OSG中怎样创建多视图，利用OSG+Win32 console application实现。(make multiply views in osg)

求数字1到10000的原根，返回原根值，若无原根显示说明(Find the numbers 1 through 10,000 of the original root, return the root value, in the absence of the original description of the root shows)

Carrame法求解矩阵方程组，并应用于1D光子晶体场的分析(Carrame Method matrix equations, and applied to the analysis of 1D photonic crystal field)

四元数表示的，用于matlab仿真的工具箱。通过它，可以掌握四元数的一些特征。(quaternion said, for the simulation of Matlab Toolbox. Through it, we can get quaternion some characteristics.)

这是一篇关于特征语音补偿方法的论文，想了解这方面知识的可以看看(This is a paper about the characteristics of speech compensation method, want to know about this aspect of knowledge can have a look)

MATLAB Code for Particle Swarm Optimization Algorithm to optimized unconstrained Optimization Problem

本书是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩，以及最新的信号和图像的提升小波变换等内容；第3部分主要介绍了小波工具箱的应用基础，以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。(This book is "MATLAB application technology" Series on one of the latest MATLAB Wavelet toolbox in the Wavelet Toolbox 3.0 version of the basis. The book is divided into three parts, Part 1 focuses on the theory of wavelet basis, including basic knowledge of wavelets, continuous wavelet transform, discrete wavelet transform, multiresolution analysis and orthogonal wavelet transform, wavelet transform and multirate filter banks, 2-dimensional wavelet transform and image processing and the basic principles of wavelet packets, etc. Part 2 highlights the detailed use of wavelet analysis toolbox methods, including graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform of the MATLAB implementation of the MATLAB implementation of wavelet packet transform, signal and image noise reduction and compression, and the latest signal and image enhancement of wavelet transform content Part 3 introduces the wavele)