lpr

hebb 学习规则 s-function 先进PID及其MATLAB仿真(hebb learning rule s-function of MATLAB simulation of advanced PID)

包括了许多CA模型的matlab源程序，对于初学者很有用处。(CA model includes many of the matlab source code, useful for beginners.)

高功率双包层光纤激光器及仿真,端面抽运的掺Yb双包层光纤激光器的基本理论及其仿真(High power double clad fiber lasers and simulation, end-pumped Yb-doped double-clad fiber lasers basic theory and simulation)

详细讲述了如何用matlab进行程序设计，如何编写高效的程序。(Describe in detail how to use matlab program design, how to write efficient programs.)

本程序主要用来计算根据灰色理论建立的模型的预测值。 应用的数学模型是 GM(1,1)。(This procedure is mainly used to calculate the basis of gray theory model of the predicted value. Application of mathematical model is GM (1,1).)

进行方差分析的MATLAB源码，源文件中有用法。网络下载的，非原创。有兴趣的朋友一起讨论。(variance analysis of MATLAB source, a source usage. Download the network, non-originality. Interested friends together.)

matlab相關教學書籍matlab相關教學書籍matlab相關教學書籍(proficient MATLAB)

广义平稳非相关散射模型的MATLAB程序实现(Sense stationary uncorrelated scattering model of the MATLAB program realization)

仿360导航源码English Version(English VersionEnglish Version)

Direct sequence spread spectrum (DSSS) communication systems has been widely used in these years for its advantage of wide spectrum, low working Signal-to-Noise ratio (SNR), anti-interference, anti-multipath effect and capability of LPI and LPD. They are increasingly replacing conventional communication forms and obtaining extensively applications in modern military and commercial communication systems, for example, CDMA communication system, GPS , measuring and control system, satellite chain, identification of friend or foe and etc. Therefore, corresponding DSSS electronic counter technique becomes a big problem to solve in electronic warfare domain. DSSS electronic counter technique including blind detection, blind parameter estimation and spreading sequences estimation. For the issue of DSSS electronic counter technique of DSSS/QPSK signal damaged by strong additive white Gaussian noise (AWGN), the main research content in this dissertation as follow.