资源列表
SAPSO
- 粒子群改进算法,基本粒子群算法，加快粒子群算法效率(Particle swarm optimization algorithm, particle swarm optimization algorithm to speed up the efficiency of particle swarm optimization algorithm)
ypttd
- matlab编写的元胞自动机，一个师兄的毕设，用谱方法计算流体力学一些流动现象的整体稳定性。( matlab prepared cellular automata, A complete set of brothers, Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon.)
swvcp
- 通过matlab代码，能量熵的计算，包括广义互相关函数GCC时延估计。( By matlab code, Energy entropy calculation, Including the generalized cross-correlation function GCC time delay estimation.)
OFDM
- 结合理论课讲解基于Matlab仿真OFDM信号，绘制OFDM符号星座图，时域、频域曲线； 绘制发送端、接收端低通滤波器的幅频特性； 分析AWGN信道条件下OFDM系统的误码率性能( combined with the theory of lesson based on Matlab simulation OFDM signal, drawing OFDM symbol constellation, time domain, frequency
Channel-modeling
- 结合理论课讲解基于Matlab建立不同信道模型：高斯信道、Rayleigh信道，Recian信道及多径衰落信道模型； 给出QAM/GMSK调制方式下在上述信道模型下的误码率性能分析，分析比较两种调制方式的优缺点； 分析信道参数、信噪比对误码率性能的影响； (Based on Matlab, we construct different channel models: Gaussian channel, Rayleigh channel, Rec
agent-concensus
- 多智能体编队一致性研究matlab仿真,结果很好，实现了要求(multiagent concensus)
Chap9
- 六相永磁同步电机矢量控制，包含传统的矢量控制和基于VSD坐标变换的六相永磁同步电机矢量控制(Six-phase permanent magnet synchronous motor vector control, comprising a vector control based on the traditional six-phase permanent magnet synchronous coordinate conversion VSD motor vector control)
shengzipingmianbo
- 二维声子晶体能带结构计算程序，采用的是平面波展开法，并且可以用matlab到出能带结构图(Dimensional phononic crystal band structure calculation program, using the plane wave expansion method, and can be used to matlab energy band structure of FIG.)
wsn-node
- WSN中节点确定性部署算法代码，通过MATLAB运行，可以实现(WSN node deterministic deployment algorithm code, through the MATLAB operation, can be achieved)
MRMR
- 最小冗余最大关联算法，在预处理数据时非常有用，可提高预测精度，效果很好(Minimum Redundancy maximum correlation algorithm is useful when data preprocessing, can improve prediction accuracy, good results)
BCH-code
- matlab中求解BCH编码的生成多项式共轭元素等(Minimal polynomial conjugate element)
ve247
- ML法能够很好的估计信号的信噪比,Relief计算分类权重，毕设内容，高光谱图像基本处理。( ML estimation method can be a good signal to noise ratio, Relief computing classification weight, Complete set content, basic hyperspectral image processing.)