UKF

Machine Learning: using maximum likelihood, baysiean to learn a graph

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.

液压泵振动信号的小波包分解以及功率谱分析，仿真信号的Hilbert谱以及边际谱；仿真信号的小波包能量计算(wavelet packet decomposition and power spectrum of vibration signals for piston pump Hilbert spectrum and marginal spectrum of stimulated signals)

牛顿-拉夫逊潮流计算算例，包括自动执行模块的编写(Newton- Raphson power flow calculation examples, including the preparation of self-executing module)

几个控制理论的小程序，可以方便学习自动控制理论这门课(Can easily end the camera to the image transmitted matlab program for the software called.)

michelson contrast function for quality assesment of image

buck电路的matlab语言描述,buck 控制器，PI校正~(buck circuit modeling)

《系统识辨与自适应控制MATLAB仿真(修订版)》程序源代码(Adaptive algorithm matlabb routine code)

MATLAB Simulations for Radar Systems DesignMATLAB_Codecirc_array.rar(MATLAB Simulations for Radar Systems Design MATLAB_Code circ_array.rar)

BFSK Modulation for digital signal processing