资源列表
DCT程序实现文档
- dct变换-DCT transform
cosamp
- 压缩感知理论中 贪婪算法cosamp算法的实现-Compressed sensing algorithm "cosamp"
course
- 描述司机与售票员之间的进程问题，熟悉p和v操作-Describe the process between the driver and conductor of the problem, familiar with p and v operations
main_BP
- MP算法，完成基本的一维信号的重构，里面有详尽的注释和解析-MP Algorithm，Complete reconstruction of the basic one-dimensional signal，There are detailed notes and parsing
RIP_fi
- 计算压缩感知的测量矩阵和稀疏基的RIP因子。-This file aims to calculate the RIP factor or the measurement matrix and sparse base in compressive sensing field.
CS
- 一个压缩感知的matlab程序实例，帮助新手上路。-Image block ；compressed sensing
基于径向基神经网络的预测地下水位
- 采用径向基神经网络搭建地下水预测模型，进行地下水预测。(The radial basis function neural network is used to build groundwater prediction model.)
TwoBody
- 二体问题求解程序 包含两个文件： 1.orbit_solver.m 初始化程序，数值计算并画图输出。 在此设置卫星的初始位置坐标r0和速度v0，设置仿真起止时间t0和tf，然后可以直接运行即可。 2.dif_orbit_dynamic.m 轨道动力学函数，包括无摄动力学和J2摄动下的动力学方程，具体采取何种动力学需要在此程序中进行设置。(Two body problem solving program There are two files: 1.orbit_ Solver. M initial
Random_sample
- 随机均匀采样的matlab代码实现，输入矩阵的大小和要采样的数目。返回一个随机均匀采样的测量矩阵，矩阵的值为0或1，0表示没有采样，1表示采样(Matlab code of random and uniform sampling, the size of input matrix and the number of samples. Returns a measurement matrix with random and uniform sampling. The value of the ma
python蒙特卡罗
- 强化学习蒙特卡罗算法，求解最优值，python绘制曲线曲面(Reinforcement learning Monte Carlo algorithm was used to solve the optimal value, and python was used to draw curves and surfaces)
PSO faultlocation
- 基于粒子群算法配电网故障定位算法，大家可以学习一下(Particle swarm optimization algorithm for fault location in distribution network)
GM11
- 用于寿命预测的灰色预测模型GM（1,1）的matlab代码(The matlab code of the gray prediction model GM(1,1) used for life prediction)