ch4-preview_pa1257

多目标遗传算法解决tsp问题是一个 很好的东西~~！(it s good for you and good good study day day up!!)

Bandpass and Nulling Filter Design project on matlab

The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes respectively) modulated by a complex sinusoid (with centre frequencies U and V along x and y-axes respectively)

MATLAB语言常用算法程序集（包括插值、函数逼近、矩阵特征值计算、数值积分、数值微分、方程求根、非线性方程组求解、解线性方程组的直接法、解线性方程组的迭代法、随机数生成、特殊函数计算、第15章 常微分方程的初值问题、第16章 偏微分方程的数值解法、数据统计和分析）(MATLAB language commonly used algorithm for assembly (including interpolation, function approximation, eigenvalue calculations, numerical integration, numerical differentiation, finding roots of equations, nonlinear equations, solving linear equations of the direct method for solving linear equations of the iterative method, random number generation, special function calculation, initial value problems for ordinary differential equations, numerical solution of partial differential equations, statistics and analysis))

说明：  模糊正系统的判定及稳定性分析，相比一般的稳定性分析我的有独特之处(Fuzzy is the system and stability analysis to determine )

说明：  话到变送器和其计算复杂度 类似于MRRC。比起MRRC,如果总数 辐射功率是保持不变的,发送的多样性 方案具有3-dB不利(less system, using two transmit antennas at the base stations instead of two receive antennas at all the remote terminals. The scheme does not require any feedback from the receiver to the transmitter and its computation complexity is similar to MRR)

generate frequency hopping and lfm signal and study auto corrleation and cross corrleation properties

binary frequency division multiplixing

根据系统的动力学方程m文件和simulink求出系统的平衡点(Based on the system dynamics equation of m documents and simulink the equilibrium point of system)

Particle filtering is an non-parameterized algorithm via sequential Monte Carlo simulation to actualize bayesian estimation. This paper expatiated the development and the research status of particle filtering at present.Then,introduces and analyses the principle of particle filtering、the existed key problems and countermeasures in detail.Furthermore,it sum up eleven improved methods of particle filtering algorithm.Meanwhile,applications are addressed in this paper.Finally ,the prospect of particle filtering is presented.