ESPRIT

单纯形法,单纯形法，求解线性规划问题的通用方法。单纯形是美国数学家G.B.丹齐克于1947年首先提出来的。(danchuncing)

matlab 实现的各种分类器 有说明及注释

对轴承振动信号进行各种时频分析，以获取相应的时频域分布图，用于轴承故障诊断(bearing vibration signal time-frequency analysis to obtain the corresponding time-frequency domain distribution for bearing fault diagnosis )

此工具箱是英国设菲尔德（Sheffield）大学编写的MATLAB遗传算法工具箱，是使用的最广泛的遗传工具箱之一。在《MATLAB 遗传算法工具箱及应用》作　者：雷英杰 出版社：西安电子科技大学出版社 这本书中重点介绍了此工具箱。( Sheffield genetic matlab toolbox)

支持向量机的Matlab源代码,虽然有点简单，但可以用来参考。请大家多多支持(Support Vector Machines Matlab source code, though a bit simple, but can be used for reference. Please support)

说明：  各种常见的窗函数，以及这些窗函数的时域波形和频域波形。(A variety of common window function, and their time-domain window function waveform and frequency domain waveforms.)

说明：  基于模型参考自适应的异步电机转速辨识仿真模型(Based on Model Reference Adaptive Speed Identification of Induction Motor Simulation Model)

一些很好的使用的matlab程序源代码，关于图像处理的(Some good use of the matlab source code, on the image processing)

modelong and simulation in matlabb

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.