boostconverter

独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独立。采用ICA方法对信号进行盲分离时，可避免过多地受大能量噪声成分的影响，将部分小能量信号源识别出来。随着ICA技术的不断发展，目前ICA技术已经广泛应用于语音增强、音频识别、通信、医学信号处理、金融数据挖掘、图像消噪、数字水印、遥感等领域，并取得了一定的研究成果。(Independent Component Analysis (ICA) Component ini order, developed in recent years is a kind of effective separation technology, originally from French scholars Herault and Jutten in 1986. The proposed method is initially ICA to solve the "cocktail" problem, the process can be divided into, in the source signal transmission channels and in the case of unknown parameters according to the source of the signals, and the statistical characteristics of recovering the source signal. According to the analysis of the ICA key lies in the establishment of optimal criteria described the output signal of the independent, objective function optimization criterion, and the corresponding optimization algorithm, the optimum )

专门针对matlab中作图方法和GUI的电子书，从基础讲起，适合零基础的初学者。(Specifically for mapping methods and GUI matlab in e-books, basic talk, for zero-based beginners.)

以比例导引律为基础，用伴随矩阵的构建解释了其闭环形式的解，其中包括初始航向角误差HED的图行，便于分析(The proportional guidance law as the foundation, with the adjoint matrix construction and explains its closed form solution, which includes the initial heading angle error of HED graphics, easy analysis)

本例主要说明了空间域滤波与频域滤波的比较！在空间域中采用了Sobel掩膜对f滤波的结果与在频域中进行等价操作的结果！(This example illustrates the spatial filtering mainly with the comparison of frequency domain filtering! In the spatial domain using the Sobel filter mask on the results of f in the frequency domain is equivalent with the result of the operation!)

一些我在写毕业论文中用到的关于混沌的相关论文，都是一些有档次的，对我的论文很有帮助(Something I used in writing the thesis on the chaos of the relevant papers, are some upscale, very helpful for my thesis)

主动学习，也是模式识别方向的有关论文，有兴趣的可以下来看看(Active learning, but also the direction of the pattern recognition of relevant papers, who are interested can look down)

It will zoom the i/p image

说明：  编写定步长复化Simpson公式与变步长（自适应）复化Simpson公式的通用程序，并用变步长（自适应）复化Simpson公式计算π的近似值.(Complex Simpson formula)

说明：  中间的程序是外推程序,......... 但是下面的程序仿真部分和外推部分的标号有写出入,因为不是同一时期编的 请大家注意： 程序中用的是频域外推法，在葛德彪的书中有详细的介绍。(Central procedure is the extrapolation procedure ,......... but some of the following procedures for simulation and extrapolation part of the labeling has to write out, because they are not made during the same period the U.S. Please Note: The procedure used is the frequency of extra-territorial extrapolation method, in the GE De-biao book has a detailed introduction.)

说明：  codes for matlab . .