1).genration-sgnl

Code For Lambda-iteration method of solving Economic dispatch problem

Single Phase Inverter with PWM

这是个雷达建模程序，用于雷达信号处理专业，对于两个目标的雷达脉冲信号压缩。(radar sigal compress)

这是进行IGA分析的 Matlab代码.可用于进行1维，2维和三维的线弹性问题分析，并可以进行裂纹的扩展，夹杂等的计算。同时，包括Eular梁和Kirchhoff板在内的结构力学问题也可行。 (This is the the Isogeometric Analysis (IGA) Matlab code. The code supports one, two and three dimensional linear elasticity problems. Extended IGA for hole, inclusion and crack modelling is also implemented. Structural mechanics problems including Euler beam and Kirchhoff plates (rotation-free formulations) are implemented as well.)

说明：  利用Matlab实现子功率谱的求解，并实现信号处理和能量算法(Matlab, the solution to achieve sub-power spectrum, and algorithms for signal processing and energy)

本代码为扩展卡尔曼滤波仿真，适合初学者使用学习。(The extended Kalman filter simulation code, suitable for beginners to learn.)

CREATE a buffer around a polygon in Matlab

主要内容有：雷达数据处理概述（包括研究目的、意义、历史和现状等），参数估计与线性滤波方法，非线性滤波方法，量测数据预处理技术，多目标跟踪中的航迹起始，极大似然类多目标数据互联方法，贝叶斯类多目标数据互联方法，机动目标跟踪，群目标跟踪，多目标跟踪终结理论与航迹管理，无源雷达数据处理，脉冲多普勒和相控阵雷达数据处理，雷达组网数据处理，雷达数据处理性能评估，雷达数据处理仿真技术，雷达数据处理的实际应用，以及关于雷达数据处理理论的回顾、建议与展望。(The main contents are: an overview of the radar data processing (including research purpose, meaning, history and current status, etc.), parameter estimation method with linear filtering, nonlinear filtering method, measurement data preprocessing techniques, starting track multiple target tracking, maximum Likelihood class of multi-target data interconnection methods, Bayesian methods class multi-target data association, target tracking, target tracking group, multi-target tracking end theory and track management, passive radar data processing, pulsed Doppler and phased array radar data processing, radar network data processing, radar data processing performance evaluation, radar data processing simulation technology, the practical application of radar data processing, as well as a review on radar data processing theory, suggestions and prospects.)

simulink下封装的混合高斯的s-funcion函数。用于模型模块的搭建。(simulink package under the Gaussian mixture of s-funcion function. The structures used to model the module.)

数据挖掘 《机器学习与数据挖掘：方法与应用》，朱明等译，电子工业出版社(data mining conclude Classification,Estimation,Prediction,Affinity grouping or association rules,Clustering,Description and Visualization,Text, Web ,et al)