tail_conv_code16

英语的形态分析方面的论文和源码，采用word形式保存(Morphological analysis of English)

说明：  关于matlab和RS方面的文献，对于做遥感应用很有益，比较好。(Matlab and RS on the literature, for remote sensing applications is very useful to do, better.)

Jadi, analisis Kurva Tegangan dan studi tentang motor sinkron menggunakan MATLAB m-file adalah pilihan yang baik di lingkungan industri.

实现电力系统的潮流计算，采用的事PQ方法来编程(Achieve power flow calculation method used to program the things PQ)

包括emd分解程序，求边际谱程序，hilbert包络解调程序，求取小波包频带能量程序，K均值聚类程序(fault diagnosis program)

说明：  多目标遗传算法是NSGA-II[1]（改进的非支配排序算法）,该遗传算法相比于其它的多目标遗传算法有如下优点：传统的非支配排序算法的复杂度为 ，而NSGA-II的复杂度为 ，其中M为目标函数的个数，N为种群中的个体数。引进精英策略，保证某些优良的种群个体在进化过程中不会被丢弃，从而提高了优化结果的精度。采用拥挤度和拥挤度比较算子，不但克服了NSGA中需要人为指定共享参数的缺陷，而且将其作为种群中个体间的比较标准，使得准Pareto域中的个体能均匀地扩展到整个Pareto域，保证了种群的多样性。（消除了共享参数）。(Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non-dominant sorting algorithm is, while the complexity of nsga-ii is, where M is the number of objective functions and N is the number of individuals in the population.The introduction of elite strategy to ensure that some good individuals in the evolutionary process will not be discarded, thus improving the accuracy of the optimization results.The comparison operator of crowding degree and crowding degree not only overcomes the defect that NSGA needs to specify the Shared parameter artificially, but also takes it as the comparison standard between individuals in the population, so that individuals in the quasi-pareto domain can uniformly expand to the whole Pareto domain, ensuring the diversity of the population.(eliminating Shared parameters).)

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这是一个用matlab实现的语音信号预测编码中的得宾算法部分。还有实验报告。(This is a realization of using Matlab voice signals of predictive coding algorithm part in Pennsylvania. There experimental report.)

Principal component analysis for a voice signal

Pipelined Chebyshev Functional Link Artificial Recurrent Neural Network for Nonlinear Adaptive Filter