repair

Pade递推算法，完成插值，收敛快，精度较一般多项式插值高(Pade recursive algorithm to complete the interpolation, convergence and accuracy higher than the general polynomial interpolation)

Selective repeat network protocol

Matlab simple operations written by safwan mahmood

This is program for finding BAYES thresholding

code NRZ nodeur NRZ sous matlab

提供hht工具箱完整的程序给大家参考学习(To provide a complete toolbox hht procedures to which we refer to learning)

说明：  一种基于RSSI的DV-HOP加权算法，该算法基于节点接收信标节点位置元组时的信号强度（RSSI）对邻居节点间跳数进行加权处理，将节点间的跳数与距离相关联，仿真试验结果证明该加权算法可大大提高定位精度。( a RSSI based weighted DV-HOP (RWDV-HOP) Localization algorithm is presented. In this algorithm the hops of adjacent node is weighted by the RSS of flooding packets transmitted between adjacent node. Our algorithm improves the localization accuracy compared with previous algorithms, which has been demonstrated by the simulating results.)

随机数生成的matlab程序，可作为数值分析等的学习工具。(Matlab program, the random number generator can be used as a learning tool of numerical analysis .)

用MATLAB仿真雷达chirp信号，并对其进行距离向和方位向脉冲压缩，对有距离徒动的进行徒动矫正(Chirp radar signal simulation using MATLAB, and its distance and azimuth pulse compression, for there were only moving away only corrective action)

为了有效地应用遗传算法解决 鲁棒控制系统设计问题，将遗传算法与局部优化方法相结合，提出了基于降维扫描方法的自适应多目标遗传算法（DRSA-MOGA）。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法，提高了算法的全局优化性能和局部搜索能力。仿真结果表明，DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度(For effective application of genetic algorithms to solve robust control system design problems, genetic algorithms and local optimization method, based on reduced-order adaptive scanning method multi-objective genetic algorithm (DRSA-MOGA). Fitness function through the introduction of standardized methods, based on the Pareto optimal solution set of search methods and dimensionality reduction scan fitness function adaptive adjustment method, the algorithm improve the performance of global optimization and local search capabilities. The simulation results show that, DRSA-MOGA algorithm solution without loss of uniformity can be achieved under a high degree of approximation)