QPSK_OQPSK_Envelope

说明：  “水仙花数”是指一个三位数，其各位数字的立方和等于该数本身。用两种不同的方法求所有的“水仙花数”。 ("narcissi few" refers to a triple-digit, the number of cubic you and equal to the number itself. Using two different methods for all of the "Narcissus few.")

基于MATLAB的电力系统潮流计算程序设计的4节点极坐标牛顿-拉夫逊法潮流计算程序(MATLAB-based power flow calculation program designed 4-node polar coordinates Newton- Raphson power flow calculation program)

基于遗传算法的车间调度的MATLAB实现，很好改进，实用(MATLAB implementation of job shop scheduling based on genetic algorithm is very good and practical.)

说明：  利用子空间方法实现盲信道均衡的matlab程序，给大家个参考(Subspace method for blind channel equalization to achieve the matlab program, give us a reference)

LCL滤波器在现代的可再生能源行业的应用十分的普遍，可以有效、经济地确保和提高从能源到电网的馈电质量。滤波器用于过滤逆变器工作产生的开关频率。在达到目标畸变水平的同时，滤波器还会节约比较可观的成本。LCL滤波器的典型特点是损失小、体积小、重量轻、电容大。(LCL filter in the application of modern renewable energy industry is very common, can be effectively and economically to ensure and improve the quality of energy to the grid feed. This filter is used to filter the inverter switching frequency. The filter will reach the target distortion level at the same time, considerable cost savings. LCL filter typically characterized by loss, small size, light weight, large capacitance.)

MPSK mod very easy to understand!

说明：  采用二维方法进行的图像重构 可以替换多个模板。重构质量可以通过参数调整(Two-dimensional image reconstruction methods can replace several templates. Reconstruction quality can be adjusted through the parameters)

VRP, for solving vehicle routing problem

在matlab中利用声卡对语音信号进行实时采集，并采集波形图，对采集信号进行频谱分析，画出频谱图，能查找峰值频率。有详细的注释和参数调整说明(In Matlab using real- time audio of the speech signal acquisition and acquisition waveform, Spectral Analysis of Signals and draw the spectrum, can find the peak frequency.A detailed description of the annotation and parameter adjustment)

说明：  SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能： 实验设计：中心复合设计，全因子设计，拉丁超立方体设计，D-optimal和maxmin设计。 代理：克里金法，多项式响应面，径向基神经网络和支持向量回归。 错误和交叉验证的分析：留一法和k折交叉验证，以及经典的错误分析（确定系数，标准误差;均方根误差等;）。 基于代理的优化：高效的全局优化（EGO）算法。 其他能力：通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox is a general-purpose MATLAB library of multidimensional function approximation and optimization methods. The current version includes the following capabilities: Design of experiments: central composite design, full factorial design, Latin hypercube design, D-optimal and maxmin designs. Surrogates: kriging, polynomial response surface, radial basis neural network, and support vector regression. Analysis of error and cross validation: leave-one-out and k-fold cross-validation, and classical error analysis (coefficient of determination, standard error; root mean square error; and others). Surrogate-based optimization: efficient global optimization (EGO) algorithm. Other capabilities: global sensitivity analysis and conservative surrogates via safety margin.)