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DrLi_Blind_equalization
- 这是李晓华博士关于MIMO盲均衡的系统matlab源码，其中设计二阶统计，CMA均衡器，以及子空间方法。-This is Dr. Li Xiaohua on MIMO blind equalization system Matlab source, Design order statistics which, CMA equalizer, and subspace methods.
music.matlab
- MUSIC算法的matlab仿真，MUSIC是经典的oda算法，基于子空间的应用-MUSIC algorithm matlab simulation, MUSIC is a classic oda algorithm, based on the application of subspace
Subspace-Tracking
- Subspace Tracking in Colored Noise Based on Oblique Projection
SSI-MATLAB
- 用matlab语言的ssi法随机子空间法的编程，效果不错-Matlab programming language using stochastic subspace ssi Act law, good results
Krylov
- Krylov子空间方法及其并行计算，流体力学计算，结构有限元分析。-Krylov subspace methods and parallel computing, computational fluid dynamics, finite element analysis.
Preprocess
- 预处理的源定位 --- --- --- --- --- --- - 各种脚本用于处理源定位中使用的时间数据。 Time2Frames.m mutilchannel时间数据转换为频谱帧 Time2TF.m 时间数据转换为相对传递函数的帧到通道1。 Frames2R.m 频谱帧转换为（freqeuncy而定）的协方差矩阵。 R2C.m 转换协方差矩阵噪声子空间（用于音乐）。
ssi-subspace-identification
- stochastic subspace identification code
code
- matlab实现cdma多用户检测几种算法比较 此模型是的信号发生器是由b.mat的simulink模型动态生成，共有10个用户，扩频信号是由gold码或产生，共有恒模算法、子空间算法、改进型恒模算法和最小能量检测算法等几个算法程序。-matlab achieve cdma multi-user detection Several algorithms compare this model is the signal generator is dynamically generated by
pmusic_for_DOA_estimation
- spectrum.music对象和pmusic函数提供Schmidt提出的MUSIC算法。该算法基于对自相关矩阵的特征分析，用于对频谱的估计。这种谱分析将数据相关矩阵的信息分为信号子空间和噪声子空间。-spectrum.music objects and functions provide MUSIC algorithm pmusic Schmidt raised. The algorithm is based on the correlation matrix of the feature a
DPD_demo
- 在直接定位系统模型下，利用子空间压缩感知算法进行无线目标的定位demo.-This demo uses subspace based CS algorithm to localize wireless device directly.
ArnoldiBuck
- 高阶buck电路的模型降阶，krylov子空间法，arnoldi算法-the reduction of the full-order model of Buck converter,Krylov subspace,Arnoldi algorithm
4188
- Virtual power wireless sensor network coverage, Mathematics is part of the subspace, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.
2552
- HARQ throughput analysis of the system, Mathematics is part of the subspace, Partially achieved tracking speed iterative relaxation algorithm.