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sinr_networkload
- sinr load with source code
LSFS
- 有监督的特征选择和优化程序MATLAB代码，基于最小二乘算法。内有测试数据，和详细程序说明-Least-Squares Feature Selection (LSFS) is a feature selection method for supervised regression and classification. LSFS orders input features according to their dependence on
SMI
- 块自适应处理算法先有采样快拍数据计算采样协方差矩阵，再来计算自适应权矢量。典型的块自适应处理算法为采样矩阵求逆(SMI)算法。仿真了采样矩阵求逆法(SMI)的波束形成方向图旁瓣的高低受信号快拍数的影响。-Block adaptive processing algorithms prior sample snapshot data of the sampling covariance matrix, again computing ada
classic_beamforming
- classic beamforming: wiener-hopf,SMI,LSMI,Hung-turner projection, eigenspace-bacsed beamformer
LSMI
- 对角加载波束形成算法，可以解决协方差矩阵存在误差条件下的波束形成算法-diagonal loading beamforming
simul_worst_V1
- 最差性能下的稳健波束算法，包含SMI.LSMI,ROBUST等算法，适合初学者。-Robust beamforming using worst case。
lsmi
- Sample Matrix Inversion is implemented via matlab. the code plot the SINR performance as a function of BER and compare it to the theoretical upper bound BER. YOU CAN CHANGE THE PARAMETERS AND TEST THE RESULTS.
LSMI-GPU-CUDA
- 程序是基于GPU的CUDA架构进行通用计算的程序，程序实现的功能是阵列信号处理的波束形成，实现方法是LSMI即迭代对角加载采样矩阵求逆法,用的编程软件是vs2012-the program is based on GPU s CUDA,its function is beamform for array signal process,the method is LSMI，vs2012 is used
LSMI
- 最小二乘互信息估计法,基于最小二乘法来直接估计互信息。-least-square MI estimator
worst-case-performance-optimization
- 基于最差性能最优的稳健波束形成算法可以等价转换成加载样本矩阵求逆(LSMI)算法.提出了 一种新的求解方法, 准确地计算出Lag range 乘数, 给出了LSMI 算法中的最优加载量, 解决了对角加载技术中加载量估计难题.-The robust adaptiv e beamformer using w orse-case performance optimization can be converted to the loaded
Robust_MVDR_Simulation
- 一些稳健MVDR程序，其中包括对角加载算法（LSMI）算法，权值范数约束稳健MVDR算法(Robust MVDR Beamforming)