BSCA

利用线性规划法编写的MATLAB程序，用于电力系统无功优化，用于学习交流(Prepared by using linear programming MATLAB program for power system reactive power optimization for the Learning Exchange)

optical fiber encryption in drpe

比较全面的贝叶斯工具箱，包含贝叶斯分类器等的设计等(bayes tools box)

OFDM的一种信道估计方法:基于旋转不变因子的信道估计方法(An OFDM channel estimation method: Based on the Rotation-invariant factor of channel estimation method)

music高阶谱分析算法，计算多重分形非趋势波动分析，实现用SDRAM运行nios，同时用SRAM保存摄像头数据。( music higher order spectral analysis algorithm, Calculate the multifractal trend fluctuation analysis, Implemented with SDRAM run nios, while saving camera data SRAM.)

说明：  一阶无延时的MPC，基于MAC，预测控制(First-order delay-free MPC, predictive control based on MAC)

说明：  UAV Positioning, Next generation wireless network. 3D positioning of multiple UAV-BS

FIR(Finite Impulse Response)滤波器：有限长单位冲激响应滤波器，是数字信号处理系统中最基本的元件，它可以在保证任意幅频特性的同时具有严格的线性相频特性，同时其单位抽样响应是有限长的，因而滤波器是稳定的系统。因此，FIR滤波器在通信、图像处理、模式识别等领域都有着广泛的应用。 (FIR (Finite Impulse Response) filters: finite impulse response filter unit, digital signal processing system is the most basic components, it can ensure that any increase in the frequency characteristics of both a strictly linear phase frequency characteristics, while its unit sample response is finite, and therefore the system filter is stable. Therefore, FIR filters in communications, image processing, pattern recognition and other fields have a wide range of applications.)

说明：  本资料为MATLAB GUI设计的简单例程，包括两个源文件（.m和.fig)。其具体的功能为图片的提取及二值化处理。(This information is designed for simple MATLAB GUI routines, including the two source files (. M and. Fig). The specific function of the extraction and image binarization.)

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.