timingsyn_cfo

matlab code for SVM investigation

说明：  图论的相关MATLAB CODE 非常好用(grBase- find all bases of digraph grCoBase- find all contrabases of digraph grCoCycleBasis- find all independent cut-sets for a connected graph grColEdge- solve the color problem for graph edges grColVer- solve the color problem for graph vertexes grComp- find all components of graph grCycleBasis- find all independent cycles for a connected graph ...)

说明：  根据Gadner公式编制的密度拟合程序，适合地震解释中没有密度只有速度的情况下自动生成密度(Prepared according to the density of the formula Gadner fitting procedure for seismic interpretation in the case of no density is only under the automatic generation of speed-density)

matlab 工具箱 非常有用的，绝对有用(matlab toolbox is very useful, absolutely useful)

光伏电池阵列输出功率受光照强度和温度变化的影响，因此最大功率点跟踪（MPPT）技术广泛应用于光伏系统中。在所有最大功率点(MPP)控制策略中，扰动观察（P&O）MPPT算法因易实现被广泛应用，然而它的缺点是在稳定工作状态下工作点通过MPP 时会导致能量振荡损耗，并且在光照强度或温度发生突变时表现较差的动态响应。在本文中，提出一种改进型变步长扰动观察MPPT 算法，此方法依据工作点动态调整步长变化，与传统固定步长方法比较，本文提出的方法能有效地提高MPPT 速度和转换效率，通过仿真和实验结果分析，验证了此改进算法的可行性。(PV array output power by light intensity and temperature changes, so the maximum power point tracking (MPPT) technology is widely used in photovoltaic systems. In all the maximum power point (MPP) control strategy, the perturbation and observation (P & O) MPPT algorithm because easy to implement is widely used, but its disadvantage is the steady-state operating point by the MPP causes energy oscillations loss, and in the light intensity or temperature mutated poor performance dynamic response. In this paper, we propose a modified variable step size perturbation and observation MPPT algorithm, this method is based on dynamically adjusting the operating point changes in steps, with the traditional fixed-step methods, the proposed method can effectively improve the speed and efficiency MPPT, The simulation and experimental results verify the feasibility of this algorithm.)

A GUI program for project management.

最坏情况鲁棒自适应波束形成优化。实际应用中,由于阵元位置的细微偏差、阵元之间的幅度相位响应也不可能完全相同、以及有限采样效应等因素,使得实际的方向矢量与其理想值之间存在误差,严重影响了波束的性能。针对这一问题，论文作者在最坏情况下自适应波束形成方法进行研究，并作比较。(Worst case robust adaptive beamforming optimization. In practical applications, the errors between the actual direction vector and its ideal value are caused by the slight deviation of the element position, the impossibility of identical amplitude and phase responses between the elements, and the limited sampling effect, which seriously affects the performance of the beam. In order to solve this problem, the author of this paper studies and compares the adaptive beamforming methods in the worst case.)

说明：  冈萨雷斯全书MATLAB例程，全部代码源(Gonzalez book MATLAB routines, all the source code)

adaptive median filter

实现互双谱法进行时延差估计的函数。有详细使用说明。(Time-delay estimation using cross-cumulant method with detailed usage.)