搜索资源列表
zyoye4
- SMI算法的matlab代码，并且比较不同快拍数下及不同信号入射功率对波束图的影响-SMI algorithm matlab code, and compare the number of snapshots and different under the incident signal beam map of the impact of power
SMI(Algorithm)
- 智能天线自适应非盲波束形成SMI算法，有很好的参考价值。-Smart Antenna Adaptive SMI non-blind beamforming algorithms, have a good reference value.
SMI
- 动态创建按钮，比照对话框创建方式差异，CTREECTRL使用-Dynamically created button, the dialog box, mutatis mutandis, to create differences in the way, CTREECTRL use
lmsalgo
- contains documents relating to improvement of adaptive beamforming using mixed norm algorithm, combination of lms with smi algorithm, sample code for implementation of lms in matlab
UCA_SMI
- QR分解SMI算法的目的正是要避免直接来解线性方程，而是将自相关矩阵分解，并利用Givens旋转实现数据矩阵的QR分解，最终将权矢量的求解问题转化为三角线性方程组的求解问题。-QR decomposition SMI algorithm, whose objective it is to avoid directly to solution of linear equations, but will auto-correlation matrix decomposition, and the u
lcmv
- 这是一个LCMV（线性约束最小方差）波束形成的程序-This is a LCMV (linearly constrained minimum variance) procedures beamforming
QR
- 矩阵全部特征值的QR方法，包括化一般矩阵为上Hessenberg阵，平面旋转阵(Givens变换阵)，用 Givens变换对上Hessenberg阵作QR分解，原点平移加速的QR方法等-Eigenvalue matrix of all the QR methods, including the general of the Hessenberg matrix array, planar array rotation (Givens transformation matrix), with the
SMI2
- 波束形成自适应算法——样本相关矩阵直接求逆算法(SMI)-Beamforming adaptive algorithm- the sample correlation matrix inversion algorithm directly (SMI)
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 adaptive weight vector. A typical
matlab-and-LMS-NLMS-SMI
- 基于matlab和LMS/NLMS/SMI方法的自适应均衡-Based on matlab and LMS/NLMS/SMI adaptive equalization method
Adaptive_MMSE
- 本文件用MATLAB实现MMSE算法，源代码-SMI algorithm
SMI
- 智能天线技术，采用SMI算法，波束形成方向的，matlab源码-Smart antenna technology, using SMI algorithm, beamforming direction, matlab source code
ULA_SMI
- 关于均匀直线阵的smi算法的matlab算子-The algorithm matlab uniform linear array smi operator
matlab
- 基于RLS的RLS、SMI、SINR、LMS、MMSE算法的matlab环境下的自适应波束成型-Adaptive beamforming based RLS RLS, SMI, SINR, LMS, MMSE algorithm matlab environment
SyllabusM1-SMI
- UN AUTRE MONDE DE LA VISION.............MATLAB..................SEGMENTATION
Beamforming-Algorithm
- 目前最全的自适应波束形成Matlab程序，包括了Capon、LCMV、LMS、RLS、mvdr、SMI算法、智能天线自适应波束形成算法等各类matlab程序。-adaptive beamforming Matlab procedures, including the Capon, LCMV, LMS, RLS, mvdr, SMI algorithm, adaptive beamforming smart antenna algorithms and other types of matlab
SMI
- SMI算法的MATLAB仿真，可用于智能天线-MATLAB simulation SMI algorithm can be used for smart antenna
DBF
- MATLAB采用LMS,MMSE,RLS,SINR,SMI算法实现波束形成(MATLAB uses LMS, MMSE, RLS, SINR and SMI algorithm to realize beamforming.)
SMI 波束形成方法
- matlab下的基于采用协方差矩阵的波束形成算法，有详细注释