资源列表
命令流
- 基于flac3d平台，用于演示初始地应力，展示地应力梯度。(Based on the FLAC3D platform, it is used to demonstrate the initial in-situ stress and to show the ground stress gradient.)
wuxian1
- 比较了UFMC-OFDM和传统OFDM的不同(The difference between UFMC-OFDM and traditional OFDM is compared)
lorenz lyapunov
- 计算李雅普诺夫指数，仿真模拟实验计算李亚普诺夫指数程序(Calculate Lee Yap Andrianof index and simulate Lyapunov's exponential procedure.)
LensDesigndoubleguass
- 双高斯照相物镜光学设计，入瞳直径25mm，视场角20，优化弥散斑小于12微米，畸变小于3%(Double guass lens optical design, pupil diameter 25mm, field angle 20, optimized dispersion spot less than 12 microns, distortion less than 3%)
LBM
- 可以利用格子玻尔兹曼计算流场的速度，温度分布，是格子玻尔兹曼学习案例(Lattice Boltzmann Method for temperature and vilocity of water in flow field)
DMC3000_ADC
- 中值滤波，平滑滤波，ADC采样，STM32(STM32100RBT6 ADC filter)
duochedao
- 跟驰模型，FVD模型下的交叉口跟驰模型，用于仿真多个交叉口(Car Following Model)
fxlms_code
- 我提供了一个基于FXLMS的单通道前馈有源噪声控制系统的一个小例子. 为了减少噪声，我们使用控制器C（z）产生另一个“噪声”yw（k）。我们希望它破坏性地干扰X（k）。这意味着控制器必须是传播介质P（z）的模型。采用最小均方算法对控制器系数/权重进行调整。 然而，还有流体介质S（Z）留在致动器和传感器之间。我们称之为二次传播路径。所以，为了使解正确，我们需要用SH（z）来补偿调整过程，这是S（z）的估计(I provided him a little example of a single
py-EM算法
- 用Python实现的EM算法，拟合高斯分布的缺失数据。(EM algorithm writed in python)
FDTD_2Mur
- 以赫兹偶极子为激励源的以2阶MUR为边界的FDTD(FDTD with 2 order MUR as the excitation source with Hertz dipole as excitation source)
xinxing
- 利用纯html+css实现一个旋转的心形，表白装逼神器(Using pure HTML + CSS a rotating heart-shaped, loading force artifact)
MOEA-IGD-NS
- 改进MOEAD算法，并加入测试指标IGD，基于软件开发平台对比其他算法用于检验算法优劣。(MOEAD algorithm was improved, and IGD was added into the test index. Based on the software development platform, other algorithms were compared to verify the advantages and disadvantages of the algorithm.)