detect

当信噪比较大时，采用广义最小二乘法可能会出现多个局部收敛点，解决这个问题的方法可用多级最小二乘法，一般来说多级最小二乘法包含三级辨识过程。利用输入输出数据，通过多级最小二乘法，可分别求的辅助模型，过程模型和噪声模型的参数估计值。在高噪声的情况下，多级最小二乘法明显优于广义最小二乘法，其收敛点唯一。(When the signal noise ratio (SNR), and by use of the generalized least squares method may appear more local convergence point, the way of solving this problem can be used multistage least squares method, and generally multistage least squares method includes three identification process. Using input/output data, through the multistage least squares, respectively for the auxiliary model, process model and noise model parameter estimation. In the high noise, multistage least squares method is obviously superior to the generalized least squares method, and its convergence point only.)

关于经验模态分解的一个程序，主要实现EEMD分解过程(On empirical mode decomposition of a program, the main decomposition process to achieve EEMD)

基于信道的历史信息来预测不同信道的未来可用时间可以帮助CR选择一个最佳信道进行信息传递。不同的预测准则应用到周期或是随机的开关模式中。一个CR可以学习以往不同信道的模式。我们提出一个简单的分类和学习方法去检测模式的类型和收集需要的信息用于智能信道的选择。MATLAB仿真结果显示提出的方案在随机信道的随机和周期模式中都有优越的表现。随着时间的变化，新到的切换次数减少到55 ，并且延迟时间也相应减少，而吞吐量却在提高。(Prediction of future availability times of different channels based on history information helps a cognitive radio (CR) to select the best channels for control and data transmission. Different prediction rules apply to periodic and stochastic ON-OFF patterns. A CR can learn the patterns in different channels over time. We propose a simple classification and learning method to detect the pattern type and to gather the needed information for intelligent channel selection. Matlab simulations show that the proposed method outperforms opportunistic random channel selection both with stochastic and periodic channel patterns. The amount of channel switches needed over time reduces up to 55 , which reduces also the delay and increases the throughput.)

提出了一种求解电磁场有限元 边界元混合法所生成的线性方程组的有效方法 ———内观 法结合多波前法.由于该线性方程组的系数是一个部分稀疏部分满填充的矩阵,为了加速求解,应用内观法将系数矩阵分为 2块,一块是有限元法形成的稀疏矩阵,另一块是边界元法生成的满阵,然后用多波前法求解稀疏矩阵方程,用高斯 约当消去法解满阵方程. 采用该方法,计算了二维多层介质柱体的雷达散射截面.计算结果表明,该方法的计算效率远远高于传统的高斯法.(Proposed for solving mixed finite element boundary element linear equations generated by an effective method of Vipassana--- a combination of multi wave front method. Since the coefficients of linear equations is a part of the sparsely populated part of the full matrix, in order to speed up the solution, application of Vipassana coefficient matrix is ​ ​ divided into two, one is the finite element method for the formation of the sparse matrix, the other is the boundary element method generates the full array, and then use the multifrontal method for solving sparse matrix equation Gauss Jordan elimination method with full matrix equation solution. use this method to calculate the two-dimensional multi-layer dielectric cylinder of the radar cross section. The results show the computational efficiency of this method is much higher than the traditional Gaussian law.)

Hough算法的matlab实现，可以检测出图像中存在的不同半径的圆(Hough algorithm matlab realize, can detect the presence of different radii of the circles in the image)

An Evolutionary Routing Protocol for Dynamic Clustering of Wireless Sensor Networks using HCR

说明：  EA名称：套利精灵 EA类型：对冲套利 一、功能介绍 本EA遵行顺大势，逆小势策略入场交易； 二、核心优势 多货币套利，对冲风险获取盈利，每月有一次机会单局最大利润达到30% 三、注意事项 （1）如适用周期：该EA只须在欧美一分钟图表上，就能运行多对货币。 （2）资金要求：建议3000美金，最少入金不少于1000美金 （3）时间段：全时段，正常情况无需人工干预，在盈利的情况下，可视情况自行平仓;(EA Name: Arbitrage Elf EA Type: Hedging Arbitrage I. Introduction of Functions This EA follows the general trend and counter-minor strategy to enter the market. II. Core Advantages Multi-currency arbitrage, hedging risk for profit, once a month, the maximum profit of a single board reached 30%. Notes (1) If applicable: the EA can run multiple pairs of currencies only on a one-minute chart in Europe and the United States. (2) Capital requirements: Recommend $3000, at least $1000 (3) Time period: Full-time period, normal conditions without manual intervention, in the case of profit, according to the circumstances of self-liquidation;)

说明：  计算无阻尼和阻尼强迫振动Duhamel积分MATLAB实例((Single-degree-of-freedom Duhamei integral MATLAB source program, including trapezoidal algorithm and Simpson algorithm)

This MATLAB code computes the covariance matrix of a random variable

说明：  阵列信号处理中谱估计AR模型的matlab程序(Array Signal Processing AR model spectrum estimation matlab program)