xiangliangji

system identification, m document based on idetification

binary dilation and erosion 函数程序算法(binary dilation and erosion function procedure algorithm)

This Simulink model simulate GMSK modulatino in Rayleigh channel.

说明：  求解系数矩阵由16阶Hilbert方程组构成的线性方程组， 3、共轭梯度法；(Solving the linear equations consisting of 16-order Hilbert equations of coefficient matrix. 3. Conjugate gradient method;)

电子通信系统的建模与仿真 第4章 电子线路仿真试验 4.1 信号合并 4.2 微积分 4.3 触发器 4.4 分频器? 4.5 使能开关 4.6 编程开关 4.7 移位寄存器 4.8 整流电路 4.9 驻波演示 4.10 超外差式接收机(Electronic communications system modeling and simulation of electronic circuits Chapter 4 Simulation 4.1 Signal merger 4.2 Calculus 4.3 Trigger 4.4 prescaler enable ? 4.5 switch 4.7 switch 4.6 programming shift register 4.9 VSWR 4.8 Rectifier Circuit Demo Ultra 4.10 heterodyne receiver)

线性规划基本程序，有利于工程技术人员，学生。老师等编写程序(Linear programming basic program, it is helpful for engineering and technical personnel, the students and the teacher to write programs)

preprocesamiento primu

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

通过一个简单的例子来讲解遗传算法，适合初学者学习领悟遗传算法的真谛。(Through a simple example to explain the genetic algorithm, genetic algorithm is suitable for beginners to learn comprehend the true meaning.)

说明：  基于MVITCC算法的聚类方法，该算法与其他聚类相比提高一定准确率和灵敏度(The clustering method based on mvitcc algorithm can improve the accuracy and sensitivity compared with other clustering methods)