SPSO_eld

数字信号处理和滤波器设计，希望对大家有帮助。(Digital signal processing and filter design, in the hope that everyone has to help.)

该程序利用Matlab编写，并带有GUI截面。实现了任意格式图像压缩的功能。并且可以对比显示压缩前后图像，显示压缩比例和压缩时间。(The program prepared by the use of Matlab, and with a GUI cross-section. Image compression format to achieve an arbitrary function. Compared before and after the show and can compress the image, showing compression ratio and compression time.)

说明：  利用Matlab进行仿真VFH+算法，创建了几个地图。(Using MATLAB to simulate VFH + algorithm, several maps are created.)

说明：  认知无线电方面的经典著作，好书不用多言，自己看吧~(Aspects of cognitive radio classics, books do not have to say, it yourself ~)

平时遇到很多做MPC（模型预测控制）研究的额朋友，对MPC的学习遇到不少困难，很大的原因就是有价值的资料很少，国内尤甚。这是本极好的讲解利用Matlab对模型预测控制进行建模分析的国外书籍，书名为Model Predictive Control System Design and Implementation Using MATLAB。在这里把电子版于大家一起共享，希望对研究这块的朋友有帮助。(Usually encountered do a lot of MPC (model predictive control) study the amount of friends, learning the MPC encountered many difficulties, much of the reason is that little valuable information, domestic, especially. This excellent explanation of the use of the Matlab model predictive control modeling analysis of foreign books, the title of Model Predictive Control System Design and Implementation Using MATLAB. The electronic version in here together to share research piece of the friends.)

一个关于背景扣除的COBRA的GUI程序(A GUI program on background subtraction of COBRA)

信道建模 仿真程序收集和整理，供参考，MIMO，信道建模MATLAB程序(Channel modeling and simulation program to collect and organize, for reference, MIMO, channel modeling program MATLAB)

运用matlab中的结构动力学工具箱实现有限元分析(using the Matlab toolbox to achieve structural dynamics finite element analysis)

good file inverter with matlab

Power electronics plays an important role in controlling the grid-connected renewable energy sources. This paper presents a novel adaptive neuro-fuzzy control approach for the renewable interfacing inverter. The main objective is to achieve smooth bidirectional power flow and nonlinear unbalanced load compensation simultaneously, where the conventional proportional-integral controller may fail due to the rapid change in the dynamics of the highly nonlinear system. The combined capability of neuro-fuzzy controller in handling the uncertainties and learning from the processes is proved to be advantageous while controlling the inverter under fluctuating operating conditions. The inverter is actively controlled to compensate the harmonics, reactive power, and the current imbalance of a three-phase four-wire (3P4W) nonlinear load with generated renewable power injection into the grid simultaneously.