CISSP-Certified-Information-Systems-Security-Prof

linear system equation solver on OpenFOAM

It plots the BER vs SNR for PSK and QAM

The cross-entropy (CE) method attributed to Reuven Rubinstein is a general Monte Carlo approach to combinatorial and continuous multi-extremal optimization and importance sampling. The method originated from the field of rare event simulation, where very small probabilities need to be accurately estimated, for example in network reliability analysis, queueing models, or performance analysis of telecommunication systems. The CE method can be applied to static and noisy combinatorial optimization problems such as the traveling salesman problem, the quadratic assignment problem, DNA sequence alignment, the max-cut problem and the buffer allocation problem, as well as continuous global optimization problems with many local extrema.

AR模型谱估计，AR模型Y_W方法实现，Yule-Walker算法，谱估计方法(AR model spectrum estimation, AR model Y_W method implementation, Yule-Walker algorithm, spectral estimation method)

独立成分分析算法降低原始数据噪声，实现串口的数据采集，使用混沌与分形分析的例程，包含位置式PID算法、积分分离式PID，车牌识别定位程序的部分功能，用于建立主成分分析模型，在matlab R2009b调试通过。( Independent component analysis algorithm reduces the raw data noise, Achieve serial data acquisition, Use Chaos and fractal analysis routines, It contains positional PID algorithm, integral separate PID, Part of the license plate recognition locator feature, Principal component analysis model for establishing, In matlab R2009b debugging through.)

说明：  Parzen窗法，由样本求概密估计，例为一维正态分布和双峰均匀分布，内附随机数生成的原理说明。( window method, by the sample density estimate for estimated Example for one-dimensional normal distribution and bimodal uniform distribution, random number generator containing a description of the principle.)

LTE中SCME信道的matlab仿真代码(SCME channel simulation code in LTE)

使用matlab软件实现光伏电池与柴油机互联(Using matlab software interconnected photovoltaic cells and diesel engines)

自编的龙格库塔算法，方便学习数值分析的同学自学本算法，没有调用MATLAB自带的库函数。(the algorithm of numerical analysis, not the library function call MATLAB)

高阶谱__第2章_双谱估计.doc 双谱分析的基础(Chapter 2 of the high-end spectrum __ _ bispectrum estimation. Doc)