pattern-classification

EMD分解，可以有效的解决EMD分解问题，并嫩而过画出希尔伯特谱(EMD decomposition, can effectively solve the problem of EMD and tender and had drawn Hilbert spectrum)

北大医学部（医学统计学）的课件，里面重点讲解实验数据统计，方差分析，相关与偏相关等方法，这是不确定性实验数据统计必修方法，使用matlab的同学有福了。(PUHSC (Medical Statistics) courseware, which highlight the experimental statistics, analysis of variance, correlation and partial correlation method, which is the uncertainty of experimental data statistics compulsory methods, the use of matlab student blessed.)

说明：  目标跟踪,利用自我学习的子空间，此算法的最大特点是利用了粒子滤波，并且速度快(incremental basis visual tracking)

atmel ATMEGA16 Microcontroller

首先,概述了太阳能光伏发电系统的组成,介绍了目前我国太阳能光伏发电技术的应用,并根据不同场合的需要,对太阳能光伏发电系统进行了分类。其次,分析了太阳能电池板的工作原理,利用州哄JLAB仿真软件对不同环境及 不同日照强度下的太阳能电池输出特性进行了建模!仿真结果证明了太阳能电池的非线性。再次,通过比较三种常用的DC/DC变换器的工作原理,提出利用BOOST型DqDC变换器实现转换,对参数进行分析后建立了BOOST型DC/DC变换器的仿真模型。最后,分析了最大功率点跟踪原理,比较了几种常用的最大功率点跟踪方法, 并在此基础上提出了一种新的扰动观察法,仿真结果表明了此方法的可行性。 (First, an overview of the composition of the solar photovoltaic power generation system, introduced the application of solar photovoltaic technology at present, and according to the needs of different occasions, for the solar photovoltaic system are classified. Secondly, the working principle of solar panels, the use of state coax JLAB simulation software for solar cell output characteristics of the different environments and under different sunlight intensity were modeled! Simulation results show that the nonlinear solar cells. Again, by comparing three common DC/DC converter works proposed use BOOST type DqDC converter to achieve the conversion, after the analysis of the parameters, the simulation model BOOST type DC/DC converter. Finally, the principle of maximum power point tracking, comparing several commonly used method for maximum power point tracking, and on this basis, we propose a new disturbance observation, simulation results show the feasibility of this method.)

jblzq 联合开发网 - pudn.com

可控制小球运动速度的用户界面 很流畅的 绝对可用(Can control the speed of the ball movement is very smooth user interface is absolutely free)

lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*randn(1,N)]

用matlab实现在midi音频中的隐写过程(Matlab achieve midi audio steganography)

transformation from an arbitrary state-space representation to the modal 2 state-space representation