TPDS14052010

说明：  数字信号处理 理论 算法与实现.配书光盘.C.Fortran.Matlab(Digital Signal Processing Theory and Implementation of Algorithm. CD-ROM with the book. C.Fortran.Matlab)

关于rfid射频技术的实现方式的软件研究，并通过matlab进行了仿真(Theory of rfid programming，similation in matlab environment)

对于PCA的学习很有用一份资料，上面还包含matlab程序。(Learn useful for the PCA to a data above also contains matlab program.)

4Cyclist problem simulation model Four cyclists are at the desert. Each of them starts from a different location and tries to reach the other ones. Cyclist 1 goes straight to cyclist 2, cyclist 2 straight towards cyclist 3 etc. such that finally the cyclist 4 goes straight towards cyclist 1. Form the equations, build a Simulink-model and find out the meeting point of the cyclists by simulating the system with the following initial values:

介绍DACE--A MATLAB Kriging Toolbox V2[1].0工具箱使用的好文档(introduction of DACE--A MATLAB Kriging Toolbox V2[1].0)

solar mppt comparision mehtods different types of mppts

OFDM经典算法S&C算法的matlab仿真程序，可出图，(OFDM classic algorithm of the S & C algorithm matlab simulation program can be a map,)

仿真2PSK数字通信系统。信道中噪声模型为加性高斯白噪声。接收端有自适应滤波器。(Simulate 2PSK communication system. Noise in channel is ideal additive Gaussian white noise. Adaptive filter is designed at receiving terminal.)

利用matlab实现主成分分析！结构清晰！pca based on matlab(pca based on matlab)

一个基于阈值的粒子比较准则，用于处理多目标约束优化问题,该准则可以保留一部分序值较小且约束违反度在允许范围内的不可行解微粒,从而达到由不可行解向可行解进化的目的；一个新的拥挤度函数,使得位于稀疏区域和Pareto前沿边界附近的点有较大的拥挤度函数值,从而被选择上的概率也较大 从而构成解决多目标约束优化问题的混合粒子群算法。(A comparison based on the threshold criteria for the particle to handle multi-objective constrained optimization problem, part of the guidelines can keep order value is small and the constraint violation in allowing infeasible solutions within the particles, so as to achieve a feasible solution to the infeasible solution The purpose of evolution a new function of crowding, making the Pareto front in the sparse region and near the border points have a greater value of the congestion function, which is the larger the probability of selection so as to constitute solve multi-objective constrained optimization problems hybrid particle swarm algorithm.)