CH3-Source-Seeking

一种基于蚁群算法的旅行商问题的源代码.............................................................................(TSP BASED ON ANT COLONY ALGORITHM)

说明：  　本文对变步长自适应滤波算法进行了讨论,建立了步长因子μ与误差信号e(n) 之间另一种新的非线性函数关系. 该函数比已有的sigmoid 函数简单,且在误差e(n)接近零处具有缓慢变化的特性,克服了Sigmoid 函数在 自适应稳态阶段步长调整过程中的不足. 由此函数本文得出了另一种新的变步长自适应滤波算法,并且分析了参数α,β的取值原则及对算法收敛性能的影响. 该算法有较好的收敛性能且计算量少. 计算机仿真结果与理论分析相一致,证实了该算法的收敛性能优于已有的算法.(In this paper, variable step adaptive filter algorithm to discuss the establishment of a step factor μ and the error signal e (n) between another new nonlinear function. The function has a sigmoid function than the simple and the error e (n) close to zero Department has a slow change in the characteristics of a Sigmoid function to overcome the steady-state phase in the adaptive step length adjustment during the process. this function, this paper gives another new variable step size adaptive filtering algorithms, and analysis of the parameters α, β the value principles and the convergence performance. The algorithm has better convergence performance easy to calculate. Simulation results and theoretical analysis, confirmed the convergence of the algorithm better performance than existing algorithms.)

基于NSF算法的空间谱估计，获取目标方位(Spatial spectrum estimation, based on the NSF algorithm for target bearing)

Ber analyisis of QPSK in rician fading channel

Dynamic Modeling of DFIG and Wind Turbine-Generators The model provided is as simple as is appropriate for power system dynamic studies.

可变分数抽取器设计。用matlab里的sg实现，可转化为bit文件下载到fpga 。(Score extraction design variable. Sg with matlab s realization can be transformed into bit file downloaded to the fpga.)

bp网络模式识别仿真实例，包括网络训练程序和网络测试程序(bp )

有关LDPC的一些资料和英文文献以及一些相关的资料(LDPC)

LMS测相算法仿真（直线阵），通过算法产生阵列流型矩阵并进行相关分析,加噪(LMS algorithm simulation test phase (linear array), generated by an algorithm array manifold matrix and correlation analysis, noise)

说明：  802.11a的方针，有维特比编译码，较之于结交志(the Matlab/Simulink system, matched filtering, carrier recovery, rehabilitation Timing important module, the better modulation and demodulation system 16Qam understanding)