wiener1

Nonstationary Channel Estimation using a Kalman Tracking Filter 卡尔曼滤波算法的一个一个用，可用作 efk学习之用(Nonstationary Channel Estimation using a Kalman Tracking Filter Kalman filter algorithm one by one, and can be used as a learning efk)

说明：  bpp sk

stap 空时自适应信号处理仿真程序，主要仿真杂波协方差矩阵，改善因子(stap)

vblastpic1:tx=2,rx=2时ZF,ZF-SIC,MMSE,MMSE-SICvblastpic2:tx=4,rx=4时ZF,ZF-SIC,MMSE,MMSE-SIC vblastpic3 vblastpic4:MIMO vblastpic6:tx=4,rx=4, vblastpic7ZF-SIC(unordered) vblastpic8: vblastpic9: vblastpic10: vblastpic11:能 vblastpic12:tx=2,rx=2,MMSE-SIC , tx=2,rx=2,ML vblastpic13:tx=2,rx=2,Vblast ML检测 (QPSK调制) vblastpic14:tx=2,rx=2,ZF-PIC检测性能 vblastpic15:tx=4,rx=4,Vblast QR分解检测 vblastpic16:tx=4,rx=4,VBLAST ML检测 (QPSK调制)

在重构相空间的基础上计算吸引子的分形维时,合适的嵌入维m和时间滞后τ的选取至关重要.在虚假邻域概念基础上,本文给出了确定m和τ的方法.较之以前的方法,此方法更准确、简单、容易理解、易实施,对较小样本数据集也可靠.最后的应用实例验证了理论的正确性.(In the reconstructed phase space based on the calculation of the fractal dimension of attractor, the appropriate embedding dimension m and time lag τ selection is essential. In a mock neighborhood based on the concept, this paper presents the method to determine m and τ. Compared with the previous methods, this method is more accurate, simple, easy to understand, easy to implement on a smaller set of sample data is also reliable. The last application example to verify the theoretical correctness.)

绘制混沌的李雅普诺夫曲线图，非常有用，可以下载，附混沌图程序(Chaos Lyapunov curve drawing, very useful, you can download, with a chaotic map program)

在图像中采用目标模板匹配对目标进行跟踪，跟踪快速稳定，效果很好。(Using the target in the image template matching target tracking, tracking fast and stable, with good results.)

Diversity in artificial neural network

gslx680 rockchip 源码 兼容gsl1680,gsl1680E，gsl2680.gsl2682,gsl3680,gsl3680B,gsl3670(gslx680 rockchip source)

matlab图像处理，matlab图形识别匹配应用程序源码(matlab image processing, matlab matching pattern recognition application source code)