Method-II

说明：  最优化计算一书中二次规划源代码，已通过测试，可直接运行！(Optimization calculation of a book quadratic programming source code, and have passed the tests, can be directly run.)

this code extract the feature from speech signal in many algorithms

此为许多关于图像处理的程序,对处理图像大有帮助,希望与大家分享.(This is a lot about image processing procedures for dealing with images of great help and hope to share with you)

多极点控制算法的实际应用案例，适合振动控制系统(Multipolar point control algorithm is practical application cases, suitable for vibration control system)

2005版EMD(经验模态分解)完整程序(2005 version of EMD (Empirical Mode Decomposition) integrity procedures)

，建立车体6个自由度加上前轮转向系统1个自由度的汽车数学模型；该汽车数学模型不需引入很多的人为假设；可以实现给定汽汽车前轮转角，也可以不给定前轮转角；不依赖需要复杂测定的侧向力函数及相关模型参数；考虑了轮胎的滚动特性 已通过测试。 (Vehicle mathematical model of one degree of freedom, the establishment of the body' s six degrees of freedom coupled with front-wheel steering system mathematical model of the car does not need to introduce a lot of people assume front wheel angle can be achieved given steam can also be given front wheel angle does not depend on the complex determination of the lateral force function and model parameters consider rolling characteristics of the tire has been tested.)

this reports explain the effect of ICI in ofdm with matlab code.

说明：  MATLAB6.0数学手册-第2章，一本易于掌握的数学手册，内容由浅入深，对于初学者能很快掌握。(MATLAB6.0 the math manual- Chapter 2, a mathematical manual is easy to grasp, easy-to-digest content for beginners can quickly master.)

改进了二维图像中四个基站定位目标节点的算法，为研究动态基站的误差下限CRLB提供参考。内有matlab源文件代码，运行后的fig文件，运行命令和相关说明(Improved two-dimensional image of the target node localization algorithm to four base stations to provide a reference for the study of dynamic CRLB base station. There matlab source code, fig file to run after run commands and instructions)

Knowledge of the process noise covariance matrix is essential for the application of Kalman filtering. However, it is usually a difficult task to obtain an explicit expression of for large time varying systems. This paper looks at an adaptive Kalman filter method for dynamic harmonic state estimation and harmonic injection tracking.(Knowledge of the process noise covariance matrix is essential for the application of Kalm an filtering. However, it is usually a difficult task to obtain an expli cit for large expression of time varying system s. This paper looks at an adaptive Kalman filter method for dynamic estimation a harmonic state nd harmonic injection tracking.)