PD_NOMA_User2

MATLAB implementation of time series prediction Based on the VQTAM method described in the following papers: G. A. Barreto & A. F. R. Araujo (2004) "Identification and Control of Dynamical Systems Using the Self-Organizing Map" IEEE Transactions on Neural Networks, vol. 15, no. 5.

FBMC滤波器组多载波系统的方针程序，采用OQAM调制。可以和OFDM系统做个对比(FBMC （filter bank multi-carrier) OQAM)

样本熵MATLAB程序，希望可以共享。 此程序可以计算脑电信号EEG的样本熵的值，可以作为脑电信号分析之用。(samples entropy MATLAB procedures in the hope that can be shared. This procedure can be calculated EEG EEG samples entropy value, as EEG analysis.)

车牌定位算法，基于字符轮廓与形态学处理，识别率较高(License plate location algorithm, based on character profiles and morphology, a high recognition rate)

simulation of robot manipolator

基于matlab编写的改进搜索策略的人工蜂群算法，使得跟随蜂根据新改进的轮盘赌概率新公式选择跟随引领蜂采蜜(Prepared based on artificial bee colony algorithm matlab improved search strategy, so follow the honey bee bee choose to follow the lead based on new and improved roulette probability a new formula)

程序的主要功能是做了一定范围的信噪比下，对每个信噪比：随机信号QPSK调制； 根据Alamouti方案的矩阵进行编码；发送信号经过瑞利信道和加入高斯白噪声； 接收信号采用最大比合并的方法；最后对合并信号进行最大似然判决并求误符号率。 结果表明10^-3对应大约12->13dB(Procedure main function is to do a certain range of SNR for each signal to noise ratio: random signal QPSK modulation program in accordance with Alamouti coding matrix send signals through Rayleigh channel and adding Gaussian white noise received signal using maximal-ratio combining method Finally the combined signal and the maximum likelihood decision for symbol error rate. The results showed that about 10 ^-3 corresponds to 12-> 13dB)

说明：  基于CRAFT的多阶段柔性设备布局优化算法 　　多阶段设备布局下的总成本包括设备拆装成本、物料搬运成本以及区域利用成本,问题的目标是最小化总成本。首先,在分析问题的基础上,建立基于多阶段设备布局优化目标的数学模型 其次,采用改进的CRAFT启发式算法优化单阶段设备布局 进一步,提出基于单阶段设备布局算法的多阶段启发式算法,优化多阶段设备布局 最后,数值实验表明算法优化后总成本降幅达28.57％. (CRAFT-based multi-stage flexible equipment layout optimization algorithm under the multi-stage equipment, the layout of the total cost including equipment disassembly cost, material handling costs as well as regional use of cost, the goal is to minimize the total cost. First of all, the analysis of the problem on the basis of the equipment based on the layout of multi-stage mathematical model of optimization objectives Secondly, the adoption of improved CRAFT heuristic algorithm to optimize the layout of single-stage device to further, based on equipment layout algorithm for single-stage multi-stage heuristic algorithm, optimize the layout of multi-stage equipment Finally, numerical experiments show that the optimized algorithm for the total cost of 28.57 percent decrease.)

电力系统配电网络计算潮流的程序，可以使用的。(Power flow calculation in electric power system)

It is used to find shortest path between the nodes