GAPID

介绍数字滤波器的定义、分类及实现方法。讨论IIR滤波器、FIR滤波器的设计方法以及如何运用MATLAB中的DSP Blockset工具箱设计数字滤波器。(Introduce digital filter definition, classification and realization method. Discussion of IIR filters, FIR filter design methods and how to use MATLAB in the DSP Blockset toolbox design digital filters.)

The purpose of this book is to introduce the essentials of the MATLAB® software environment and to show how to start using it well.(The purpose of this book is to introduce the essentials of the MATLAB software environment and to show how to start using it well.)

mppt算法用于太阳能最大功率点的跟踪，感觉不错(mppt algorithm for tracking the maximum power point, I feel good)

用matlab进行图像处理 对车牌号码进行识别 非常具有实用价值(Matlab image processing used to identify the plate number of very practical value)

简易的matlab截图代码，可以打开bmp图片并截图保存为bmp格式，可以输出有图片信息矩阵的txt文档。(Easy shots matlab code, you can open pictures and screenshots saved as bmp bmp format, you can output a picture information matrix txt documents.)

m-k突变检验及趋势检验，可以很好的解释气候等变化的显著性趋势和突变点(Mk mutation test and trend test, can well explain the climate change trend and the significance of mutations)

AVRSTUDIO设置熔丝位加密内容，希望对大家有帮助！(AVRSTUDIO set fuse bits encrypted content, we want to help!)

此书是介绍beamforing技术的书籍，书中对这个 有较为详细的说明介绍，对于了解这个技术非常好(This book focused on beamforming tech and give us some detailed information on this tech)

灰色模型算法，通过改进之后，考虑了之后的误差处理，减少了因为数据变化太大而引起的预测不准确的现象。(Gray model algorithm, improvements, after taking into account the error handling, reduced because the data has changed so much caused by inaccurate forecasts phenomenon.)

说明：  模型预测电流控制其控制思想基于以下原理：首先，功率变换器产生的开关状态个数有限，且通过建立模型可以预测每一个开关状态下被控变量的对应变化特性；其次，定义价值函数评价被控变量的预测值，为判别最优有限开关状态提供依据；最后，计算出每一种开关状态下的价值函数值，以此评价每一种开关状态下被控变量预测值的优劣，选择出最优的开关状态并应用。(The control idea of model predictive current control is based on the following principles: firstly, the number of switching states produced by power converter is limited, and the strain characteristics of controlled variables under each switching state can be predicted by establishing a model; secondly, the value function is defined to evaluate the predicted values of controlled variables, which provides a basis for judging the optimal finite switching state; lastly, the optimal finite switching state is calculated. The value function value under switching state is used to evaluate the predicted value of controlled variables under each switching state, and the optimal switching state is selected and applied.)