A-Survey-on-Pixel-Based-Skin-Color

LDPC Codes – a brief Tutorial Bernhard M.J. Leiner, Stud.ID.: 53418L bleiner@gmail.com April 8, 2005

因为TWAIN的协议比较复杂,该程序,为你展示了TWAIN的使用(because the agreement is more complicated, the procedures for the display you use the TWAIN)

CALL DROP KPIS AND RELATIVE COUNTERS

JAVA编程，第二版，纯英文版本，不是国内翻译后的版本，可能需要英文功底比较好的网友(Beginning Programming With Java For Dummies, 2nd Edition)

盲源分离在通信侦查中的应用，适用于通信侦查的盲源分离解决方案。很不错的文章(Application of blind source separation in the Investigation of the communication, for communication investigation blind source separation solutions. Very good article)

说明：  求解双层规划问题常用的算法有极点算法、直接搜索法、下降法和非数值优化方法(如模拟退火算法、遗传算法等)，遗传算法的求解思路是：首先对上层的决策变量编码，代人下层规划模型，通过求解下层模型的决策变量值，代入上层模型计算适应度值，然后进行交叉、变异、选择操作，最后求出最优解。(Solving Bilevel Programming Problems with pole algorithm commonly used algorithms, direct search method, descent and non-numerical optimization methods (such as simulated annealing, genetic algorithms, etc.), genetic algorithm for solving approaches: the first on the top of the decision variable coding, on behalf of the were lower programming model, by solving the lower model of decision variables values into the upper model on behalf of the fitness value, and then crossover and mutation, select Options, and finally get the best solution.)

迟早门，集中统一介绍的文献，很好的，可以看看(Sooner or later the door and centralized described in literature, well, you can take a look at)

IEC61850中文版全套资料（14个文件）及学习心得。(Full set of data in Chinese version of IEC61850.)

采用加权网络中节点强度和权重都是幂率分布的模型，GPS和INS组合导航程序，做视觉测量的上位机代码。( Using weighted model nodes in the network strength and weight are power law distribution, GPS and INS navigation program, Do Vision Measurement PC code.)

对当前通信信号中常用的数字调相信号BPSK、QPSK、1／4一QPSK、8PSK的调制识别问题，提出了一种基于信号差分高阶累积量的识剐算法。该算法分两个层次进行调制识别，首先利用信号的四阶累积量特征对BPSK、QPSK和{1／4一QPSK、8PSK}信号进行识别，然后再利用信号差分的四阶和八阶累积量特征对1/4-QPSK、8PSK信号进行识别。从理论上分析了的该算法的有效性，并通过计算机仿真验证了算法具有良好的性能。(A recognition algorithm based on differential high-order cumulant is proposed for the modulation recognition problems of BPSK, QPSK, 1/4-QPSK and 8PSK, which are commonly used in current communication signals. The algorithm is divided into two levels for modulation recognition. Firstly, BPSK, QPSK and {1/4-QPSK, 8PSK} signals are identified by using the fourth-order cumulant characteristics of signals, and then 1/4-QPSK and 8PSK signals are identified by using the fourth-order cumulant and eighth-order cumulant characteristics of signal difference. The validity of the algorithm is analyzed theoretically, and the good performance of the algorithm is verified by computer simulation.)