完整的基于内容的图像检索例子

Matlab 7官方英文学习手册，全面介绍了其中的各个函数属性和例子。(MATLAB and Simulink® are the premier software packages for technical computing in education and industry. The MATLAB & Simulink Student Version provides all of the features of professional MATLAB, with no limitations, and the full functionality of professional Simulink, with model sizes up to 1000 blocks. The Student Version gives you immediate access to high-performance numeric computing, modeling, and simulation power.)

Kilka kodów zwią zanych z przetwarzaniem kontrastu obrazów monohromatycznych.

光伏逆变系统的最大功率点跟踪算法，采用的是扰动观察方法，采用s函数编写，可直接载入simulink使用(maximum power point tracking method using perturb and observe method, written by s-function)

MATLAB实现了HARQ重传，分析误码率和信噪比间的关系，并可以修改最大重传次数(MATLAB implements the retransmission of HARQ, analyzes the relationship between the bit error rate and the signal to noise ratio, and can modify the maximum retransmission times.)

近红外模型建立时，提取波长区间变量，是模型简化。里面包含ipls,biPLS、siPLS等多种方法，是一个非常不错的程序。里面有例子。

均匀线阵的MUSIC算法MATLAB仿真 需要的下载共享哦(ULA MATLAB simulation of the MUSIC algorithm needs to download shared Oh)

图论应用研究广泛，如最短路问题，最小生成树问题，最大费用流问题，最优匹配问题，网络可靠性问题，图的着色问题，最优序列设计问题，等等。这是一个强大而通用的基于matlab的工具箱 (Graph toolbox)

数值分析二分法、牛顿迭代法等方法的源程序，实验数据及实验结果(Source numerical analysis dichotomy, Newton iteration method and other methods, the experimental data and experimental results)

说明：  HHT主要内容包含两部分，第一部分为经验模态分解（Empirical Mode Decomposition，简称EMD），它是由Huang提出的；第二部分为Hilbert谱分析（Hilbert Spectrum Analysis，简称HSA）。简单说来，HHT处理非平稳信号的基本过程是：首先利用EMD方法将给定的信号分解为若干固有模态函数（以Intrinsic Mode Function或IMF表示，也称作本征模态函数），这些IMF是满足一定条件的分量；然后，对每一个IMF进行Hilbert变换，得到相应的Hilbert谱，即将每个IMF表示在联合的时频域中；最后，汇总所有IMF的Hilbert谱就会得到原始信号的Hilbert谱。(The main content of HHT includes two parts. The first part is Empirical Mode Decomposition (EMD), which was proposed by Huang, and the second part is Hilbert Spectrum Analysis (HSA). Simply speaking, the basic process of HHT processing non-stationary signals is: firstly, the given signal is decomposed into several intrinsic mode functions (represented by Intrinsic Mode Function or IMF, also known as intrinsic mode functions), which are components satisfying certain conditions; secondly, Hilbert transform is applied to each IMF. The corresponding Hilbert spectrum is obtained, that is, each IMF is represented in the joint time-frequency domain; finally, the Hilbert spectrum of the original signal is obtained by summing up the Hilbert spectrum of all IMFs.)

matlab编写的小游戏，很像“闪电”，版本要求高于R(matlab prepare small games, like )