Robustness

Matlab 自定义窗函数的幅频分析，包括矩形窗，三角窗，汉宁窗，汉明窗等(Matlab customize the width of the window function frequency analysis, including rectangular windows, triangular windows, Hanning window, Hamming window, etc.)

模仿微信导航页效果源码，应用程序编程源码，很好的参考资料。(Micro message navigation page source imitation effect, application programming source code, a good reference.)

说明：  consensus multi-agent systems fuzzy control

matx_processor 是MATLAB基础教程中的源程序(A matrix processor, Matx_Proc() is developed which can be used to process and edit matrices and state space models, and perform various kind of matrix analysis in a visible way. The graphical user interface facilities are extensively used to make such a program very easy and flexible to use)

模拟天气雷达接收到的含有噪声的降水信号，并提出了对收到的离散回波信号进行估计分析的改进的PPP法的仿真程序(The weather radar simulation received containing noises precipitation signal, and proposed to the discrete received echo signal analysis estimates of the improvement of the PPP method simulation program )

nonlinear system with inknown inputs : matlab code for real system

Exponentially weighted covariance matrix

calculation of energy consumption per bit, DT, SRC, MRC

对均匀线性阵列方向图进行仿真，为大家研究mimo雷达或者相控阵雷达方向图提供思路(Simulate the uniform linear array pattern to provide ideas for studying the mimo radar or phased array radar pattern)

在基于Mean-Shift的目标跟踪算法中，尺度自适应机制是算法研究的一个重要方向。一种典型的方法采 用Lindeberg的尺度空间理论以获取目标尺度信息。但现有算法中将尺度由2．D矢量压缩为1一D量，未能精细地 刻画目标仿射变换时的尺度变化，从而限制了算法的适用范围。为此，该文将尺度维1．D滤波推广至2一D，构造得 到了相应的垂D尺度空间，并利用窄间维和尺度维的Mean-Shift交替迭代，实现了同时在空间位置和尺度方向对 目标的有效跟踪，提高了算法在目标尺度变化时的自适应性，并扩大了算法的适用范围。 关键(Scale adaptive mechanism in the target tracking algorithm based on Mean-Shift algorithm is an important direction of research. A typical method using Lindeberg' s scale space theory to obtain the target scale. However, the existing algorithms will scale from 2. D vector compression for 1-D volume, not fine to portray the target affine transformation of scale changes, thus limiting the scope of application of the algorithm. To this end, the paper will scale dimension. D filter to the 2-D structure has been the vertical D scale space and the use of narrow inter-dimension and scale dimension of the Mean-Shift alternating iteration, effective tracking of the target position in space and scale direction to improve the self-adaptive algorithm when the target scale changes, and to expand the scope of application of the algorithm. Key)