资源列表
matlab程序
- 主要功能： 1.完成传感器对目标状态的kalman滤波估计； 2.对传感器的状态估计进行SCC和CI融合； 3.画出位置及速度的估计和融合误差曲线、真实航迹及融合后航迹、K=1时刻的协方差椭圆(Main functions: 1. The Kalman filter estimation of the target state is completed; 2. The state estimation of sensors is fused by SCC and CI; 3. Draw the
dace
- kriging代理模型通用程序，基于高斯假设拟合预测数据(Kriging agent model general program, fitting prediction data based on Gaussian assumption)
GA_sparse
- 本程序使用遗传算法对稀布阵列进行优化，以获得一组旁瓣电平较低的稀布阵排布(this code makes array sparse by using ga)
c语言实现的汉诺塔演示程序
- c语言实现的汉诺塔演示程序，可能有点问题，不过还可以
untitled4
- 三相全控整流电路的仿真阻感负载，触发角等于30度。(The simulated resistive load of three-phase fully controlled rectifier circuit has a trigger angle equal to 30 degrees.)
EV充电功率
- 计算电动汽车充电功率和符合预测，分时段计算，精度高(Calculation of electric vehicle charging power and coincidence prediction, time-sharing calculation, high precision)
HHT
- 希尔伯特黄变换，源码由台湾中央大学进行编写开发，在此特别说明。
基于LBM伪势模型的相分离算例
- 采用Shan-Chen伪势模型的格子玻尔兹曼方法求解两相分离的matlab代码
骨架提取m文件
- 以冠状动脉血管为例,用MATLAB进行血管骨架提取,包括血管分割技术,去除背景(Taking the coronary artery as an example, using MATLAB to extract the vascular skeleton, including vascular segmentation technology, background removal)
matlab 心脏血管中心线提取
- 基于Matlab程序，对心脏血管中心线进行提取，并实现心血管分割(Based on MATLAB program, the heart blood vessel centerline is extracted and the cardiovascular segmentation is realized)
ResNet-Tensorflow-master
- 使用tensorflow框架对高光谱图像进行识别、分类(Recognition and classification of hyperspectral images using densenet structure)
CNN_Hyperspectral_Classification-master
- 使用神经网络进行训练，对高光谱普图像进行分类(Using neural network to train and classify hyperspectral images)