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基于matlab实现对二维信号的分解与重构，在信号处理中有相当的使用价值。(Matlab based on the realization of two-dimensional signal decomposition and reconstruction, in signal processing have considerable value.)

关于matlab的多分类问题的几篇文章，对于学习matlab 中的svm 多分类问题有帮助(Multi-classification on matlab several articles for learning in matlab svm multi-classification helpful)

判定滤波器系统稳定性；以及对于单位阶跃序列的全响应输出波形(Determine the filter system stability And the sequence of unit step response output waveform)

直流电测深一维正演程序 使用的matlab编程，简单的描述一位电测深正演程序，其中T为自定义函数，需要放在work目录下……(Electrical sounding one-dimensional forward modeling program)

子程序，将QAM符号向量d0_J映射为二进制符号矩阵gry(Subroutines, will QAM symbol vector d0_J the mapping matrix for the binary symbols gry)

关于恒功率LCL控制的控制模型，很好的滤波模型，可以运行。(The constant power control of LCL matlab simulation model)

lda 的人脸识别matlab源代码(lda Face Recognition Matlab source code)

线性回归补偿模型，用于转炉炼钢重点预测模型(Linear regression compensation model)

信道估计程序，包括对多路径信号经过加权后进行最佳信噪比和相位估计(Channel estimation procedures, including multipath signals after weighting the best signal-to-noise ratio and phase estimation)

说明：  工程实际中的许多优化问题是多目标的优化设计问题。通常情况下多个目标是处于冲突状态的,不存在一个最优设计使所有的目标同时达到最优,一个目标性能的改善,往往以其它一个或多个目标性能的降低为代价。无论采用自适应遗传算法还是其它在标准遗传算法基础上经过改进的遗传算法,如果采用加权组合法等将多目标转化为单目标的处理方法,就无法充分发挥遗传算法的优势。如果把遗传 算法与适用于多目标处理的几此协方法相结合,就能完全发挥遗传算法在多目标优化设计中的作用。(Many optimization problems in engineering practice are multi-objective optimization design problems. Generally, multiple goals are in conflict. There is no one optimal design to achieve all goals simultaneously. The improvement of one goal's performance is often at the expense of the performance of one or more other goals. Whether adaptive genetic algorithm or other improved genetic algorithm based on standard genetic algorithm is adopted, if weighted combination method is adopted to transform multi-objective into single-objective processing method, the advantages of genetic algorithm cannot be fully utilized. If the genetic algorithm is combined with several cooperative methods suitable for multi-objective processing, the role of genetic algorithm in multi-objective optimal design can be fully exerted.)