灰色关联度矩阵

对输入的信号进行卡尔曼滤波。内插信号，wiener滤波(of input signals Kalman filter. Interpolation signal Wiener filter)

this code is for matlab antenna and EM modeling

code for cognitive radios

MATLAB模拟天气雷达信号，并含有雷达信号进行gabor变换时频分析图(MATLAB simulation of weather radar signal frequency, and contains a radar signal gabor transform analysis diagram)

通过例子，解释主成分分析和因子分析之间的区别，方便大家学习(Examples to explain the difference between the principal component analysis and factor analysis to facilitate learning)

说明：  高斯消元法解矩阵方程组的matlab语言(Gaussian elimination method for solving matrix equations matlab language)

可以做出一个漂亮的三维心形，赶快快来试试吧(Can make a beautiful three-dimensional heart-shaped, come try it)

The receiver performance is quantified by depicting the receiver operating char- acteristics (ROC) curves. This curves serve as a tool to and study the performance of a sensing scheme. ROC graphs are employed to show trade-of vs between detection probability and false alarm rates, (i.e. PD versus PFA), thus allowing the determination of an optimal threshold. To illustrate the performance of energy detectors, we generate complementary ROC curves (the average probability of miss detection $ P_{md} 1 - P_d$ versus the false alarm probability $P_f$ for different receiver structures and in different fading environments.Fig. 1 illustrates the complementary ROC curves for a single channel reception (no diversity) over AWGN channels. This figure depicts the complementary ROC curves for energy detectors.

模式识别与智能计算（杨淑莹）大量源码，不容错过(Pattern Recognition and Intelligent Computing lot Source)

chebyshev映射lyapunov指数分布图(chebyshev map lyapunov)