FastICA_25

说明：  圖形調整式數位音訊均衡器，使用matlab gui介面寫成。自動畫出頻率響應圖，可讀取.wav檔。濾波器由fdatools設計而成。(Digital audio graphic equalizer adjustments, and the use matlab gui interface language. Automatically draw the frequency response can be read. Wav file. Filter designed with the fdatools.)

三次样条插值matlab程序(含多种边界条件)(matlab )

Artificial Bee Colony (ABC) is one of the most recently defined algorithms by Dervis Karaboga in 2005, motivated by the intelligent behavior of honey bees. It is as simple as Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithms, and uses only common control parameters such as colony size and maximum cycle number. ABC as an optimization tool, provides a population-based search procedure in which individuals called foods positions are modified by the artificial bees with time and the bee’s aim is to discover the places of food sources with high nectar amount and finally the one with the highest nectar.

说明：  matlab作业练习，大家研究下，初学者会受益的(matlab operating practice, we study, the beginner will benefit)

说明：  人口迁移算法,此程序实现人口迁移算法，用于求解无约束连续函数最小化问题,仅供学习参考。(Migration algorithm, this process of population migration algorithm for solving unconstrained continuous function minimization problem, study reference purposes only.)

四旋翼无人机的PID高度控制matlab仿真(Four-rotor UAV simulation matlab height control)

这是我自己编写的一个改进的经验模态分解EEMD的源码，希望大家能用上(This is what I have written an improved empirical mode decomposition EEMD source code, I hope everyone can be on)

摘要地层控制分析与设计问题 无人机（UAV）群系统实现时间。 研究了不同的地层。达到预定时间- 无人机的编队、编队协议各不相同。 首先是群系统，无人机的速度可能不同 当到达编队时。然后，基于共识的方法 用于处理时变信息的形成控制 无人机群系统的问题。必要和充分 无人机群系统实现时变的条件 提出了构造方案。(Abstract-formation control analysis and design problems for unmanned aerial vehicle (UAV) swarm systems to achieve time. varying formations are investigated. To achieve predefined time- varying formations, formation protocols are presented for UAV swarm systems first, where the velocities of UAVS can be different when achieving formations. Then, consensus-based approaches are applied to deal with the time-varyin formation control problems for UAV swarm systems. Necessary and sufficient conditions for UAV swarm systems to achieve time-varying formations are proposed.)

求信号的时频熵，对非平稳信号进行emd分解后，求时频熵，得出其故障特征(For the signal s time-frequency entropy, the nonstationary signals are EMD decomposition, and time-frequency entropy, the fault feature)

Provides a real-time diagnostic of a Dissolve Gas Analysis