资源列表
ST7796+IVO3.95 16BIT
- LCD液晶屏驱动代码，基于ST7796S，KEIL/STM32F103环境，可以直接移植到自己的嵌入系统中。(LCD driver code, based on ST7796S, KEIL/TM32F103 environment, can be directly transplanted to their own embedded system.)
ribbon
- QtitanRibbon -基于QT的Office界面风格组件，非常灵活、好用，关键是个开源的(QtitanRibbon - implementation of the concept of Microsoft Ribbon for Digia Qt.C++)
TDOA算法
- 三维的时间延迟TDOA定位算法仿真，基于matlab平台运行(Three dimensional time delay TDOA positioning algorithm simulation based on MATLAB platform operation)
紧组合实例
- 仿真紧组合程序，包括星历文件和观测文件的读取，惯导系统仿真，紧组合程序仿真(Compact program simulation, including ephemeris file and observation file reading, inertial navigation system simulation, compact program simulation)
TMD2.05
- matlab 潮汐分析工具箱，用于潮汐模拟计算；能计算相关模型；包括两部分：1是用户界面编程2是预测潮汐等((TMD (Tide Model Driver)TMD is a Matlab package for accessing the harmonic constituents for the ESR/OSU family of high-latitude tide models, and for making predictions of tide height and currents.
欧美镑美EA
- 用于欧美镑美5分钟刷单+盈利.已测试，效果不错(5 minute brush and profit for EURUSD and GBPUSD)
5.0
- 适用于PFC5.0最新版本的fish，加载的材料为岩石，可以按照一定的速率加卸载，更多程序欢迎交流(For PFC 5.0 latest version of fish, loading material for rock, can be loaded and unloaded at a certain rate, more procedures are welcome to exchange)
算法导论及课后习题与思考题答案
- 算法导论第三版课后习题及思考题答案英文版(Introduction to Algorithms the third edition of answers to exercises and thinking questions (English version))
毕设代码)
- 毕业设计动态多目标优化SGEA算法，可以有效解决多目标优化问题。(Dynamic multi-objective optimization SGEA algorithm for graduation design can effectively solve multi-objective optimization problems.)
NASA锂电池数据集及matlab加载文件
- 针对NASA锂电池数据集，使用MATLAB的M文件函数编程方式获取其中的容量数据。 压缩包中包含数据集和代码两部分。(For the NASA lithium battery data set, the capacity data are obtained by using the M file function programming method of MATLAB.The compressed package contains two parts: data set and code.)
HASHIN
- abaqus用户子程序，Hashin失效准则，abaqus显示分析，使用三维实体单元(Abaqs user subroutine, Hashin failure criterion, abaqus display analysis, using 3D solid elements)
ADMM-Total-Variation-master
- 基于ADMM-Total-Variation算法的CT图像重建(CT image reconstruction based on ADMM-TV algorithm)