verticalrankfiltering

高斯消去法 （1）题目：用选主元素法和高斯消去法求解下列方程组：源代码 设计思想 原理 对应程序(Gaussian elimination (1) Title: The main elements of the election law and the Gaussian elimination method to solve the following equation: The principle design of the source code corresponding to the procedure)

用趋近律方法设计的滑膜控制器算法例程，模型对象为G(s)=133/s(s+25).(Reaching law designed by synovial controller algorithm routines, model objects for the G (s) = 133/s (s+25).)

这是关于信号的调制与解调，是通信原理核心部分，也是通信中很常见的(This is about the signal modulation and demodulation, is the core part of communication theory, communication is very common )

说明：  扩展卡尔曼滤波 用于信号处理, 初学者可是直接仿真使用(Extended kalman filter for signal processing, beginners but direct simulation use)

使用MATLAB函数对数字滤波器进行设计和实现(The use of MATLAB function of digital filter design and realization of)

认知无线电频谱感知中的单用户频谱感知的主要三种方法：能量检测，循环平稳特征检测，匹配滤波器检测 的matlab实现的源代码(cognitive radio spectrum sensing：Energy detection, cyclostationary feature detection, matched filter detection 。matlab the source code)

A fractional Fourier transform (FrFT) based estimation method is introduced in this paper to analyze the long range dependence (LRD) in time series. The degree of LRD can be characterized by the Hurst parameter. The FrFTbased estimation of Hurst parameter proposed in this paper can be implemented efficiently allowing very large data set. We used fractional Gaussian noises (FGN) which typically possesses long-range dependence with known Hurst parameters to test the accuracy of the proposed Hurst parameter estimator. For justifying the advantage of the proposed estimator, some other existing Hurst parameter estimation methods, such as wavelet-based method and a global estimator based on dispersional analysis, are compared. The proposed estimator can process the very long experimental time

Is not a sourcecode or document. IT IS A DIRECT SHEAR TEST BOOK FOR STUDNETS TO CONDUCT LAB WORKS

用radon变换提取图像的不变形特征，将图像转回原有角度，用于后续识别(Radon transform to extract images with no deformation, the image back to the original point of view for subsequent identification)

频率细化技术在超低频/极低频电磁信号检测中的应用(Frequency refinement technique in ELF/low frequency electromagnetic signal detection)