搜索资源列表
QR_algrithm.rar
- 求矩阵特征值和特征向量的算法：QR算法。用于线性方程组的求解，和反幂法算法的设计,Matrix eigenvalues and eigenvectors of the algorithm: QR algorithm. For linear equations, and anti-power-law algorithm design
BLAST_QR1.rar
- MIMO系统采用QR检测算法的MATLAT仿真程序,mimo qr
QR
- 在对矩阵进行拟上三角化的基础上利用带双步位移的QR分解法求解矩阵的特征值-To be in the upper triangular matrix based on the use of dual-band step-by-step displacement of QR decomposition method for solving matrix eigenvalue
mimoblastQR
- mimo多天线blast系统qr算法在matlab上的实现-mimo multi-antenna systems qr algorithm blast in the realization of the matlab
wfill
- 可以用来算系统功率和子载波分配的注水算法经典算法.-System can be used to balance power and subcarrier allocation algorithm of the water, the classic algorithm.
Vblast_QRmatlab
- MIMO无线通信系统VBLAST算法的Matlab实现（QR分解）-Matlab realization of a MIMO system using VBLAST method (QR decomposition)
Pro
- vblastpic1:tx=2,rx=2时ZF,ZF-SIC,MMSE -SICvblastpic2:tx=4,rx=4时ZF,ZF-SIC,MMSE -SIC vblastpic3 vblastpic4:MIMO vblastpic6:tx=4,rx=4, vblastpic7ZF-SIC(unordered) vblastpic8: vblastpic9: vblastpic10: vblastpic11:能 vblastpic12:tx=2,rx=2,M
QR_factorization
- These are the QR/RQ factorization techniques required for the Zero forcing detection technique for MIMO.
SphereDecoder
- 用于MIMO检测的sphere decoder程序- This function implements a soft output sphere decoder. Based on the paper: C. Studer, M. Wenk, A. Burg, and H. Blocskei: "Soft-Output Sphere Decoding: Performance and Implementation Aspects", Asilomar 2006
QR
- QR分解的MATLAB程序，可用于MIMO智能天线等-QR decomposition
QR-decomposition
- QR分解的MATLAB程序，可用于MIMO智能天线等-QR decomposition MIMO Smart antenna
MIMO_QR
- MIMO 4*4 8*8 QR分解 符號檢測 ～-MIMO 4* 4 8* 8 QR decomposition symbol detection ~! ! ! ! ! ! ! ! ! ! ! ! ! !
MIMO
- 比较QR分解算法与迫零算法的误码率，支持BPSK调制和QPSK调制，天线数量可以选择-Compare QR decomposition algorithm and zero forcing algorithm BER
detection
- MIMO系统V-BLAST结构关于BER的仿真，发送符号为QPSK信号，采用ZF,QR，MMSE,ML解调技术-MIMO system V-BLAST structure simulation on BER, transmission symbol is QPSK signal, using ZF, QR, MMSE, ML demodulation techniques