资源列表
chebyshev
- 用于数据拟合，切比雪夫多项式拟合，精度挺高的，可以被广泛应用(For data fitting, Chebyshev polynomial fitting, the accuracy is very high, can be widely used)
matconvnet-1.0-beta19.tar
- matlab实现CNN卷积神经网络，进行图像分类。(We can realize neural network with matlab, which will complete the classification of the image.)
NO3ASK4
- 分别产生符合下列要求的眼图，输入调制方式为2PAM和4PAM，符号率为1Hz，等效信道滤波器为升余弦滚降成形滤波器(缺省滚降系数为0.5)： 1) 无噪声和信噪比为20dB的加性高斯白噪声 2) 升余弦滚降系数分别为0.5和1 3) 受到码间串扰影响，信道参数可设为：ch=[0.9806; -0.1961]；(In accordance with the following requirements of eye respectively, the input modulation mod
偏馈
- 计算偏馈反射面天线方向图，输入正确的参数格式，输出文本结果(The calculation of offset reflector antenna, input parameters in the correct format, text output results.)
poddem
- 用于对复杂流场的POD分析，对流场结构进行解构重组(PODDEM is a state of the art detection and estimation method for outliers in Particle Image Velocimetry data. PODDEM can be used on two-dimension and three dimensional data, with up to three velocity components.)
lax (2)
- 计算流体力学里一维激波管中的LAX格式求解欧拉方程(Solving the Euler equations in the one-dimensional shock tube by the LAX scheme in computational fluid dynamics)
06_UT J2 解析 无短周期
- 对目标弹道受力进行分析，考虑J2摄动的影响，并包含短周期项，弹道预报方法使用数值积分法(The force of the target trajectory is analyzed, considering the influence of the J2 perturbation, and contains the short term term, the trajectory prediction method using numerical integration method .)
06_UT J2 解析 有短周期
- 使用数值积分法进行弹道预报，弹道建模时考虑进J2摄动项的影响，并包含短周期项(The numerical integration method is used to predict the trajectory, and the influence of the J2 perturbation term is considered when the trajectory is modeled, and the short term term is included.)
CF_2
- 两自由度互补滤波的Matlab仿真程序，数据源和测试数据均为Pixhaw飞控采集(Matlab simulation program of two degree of freedom complementary filter, data source and test data are Pixhaw flight control acquisition)
数字信号处理：使用MATLAB
- 详细的讲述了如何使用matlab来进行数字信号处理，不可多得的好书。(Detailed descr iption of how to use matlab for digital signal processing, rare books.)
SB2_Initialisation
- 基于稀疏贝叶斯学习算法预测理论，利用稀疏贝叶斯的进行概率预测(Sparse bayesian learning)
《现代模式识别》孙即祥习题答案2 3 4
- 通过最大最小距离算法来对聚类分析进行了仿真(Clustering analysis based on maximum and minimum distance)