资源列表
01
- 读取并实时显示文件内容，文件改变显示内容随之改变。-show a txt file
main007(Kalman)--
- 惯导系统C语言程序，使用卡尔曼进行滤波，四元数更新姿态矩阵-Inertial Navigation System C language program, using the Kalman filter, quaternion attitude matrix update
Calculator
- 计算器，实现简单的计算功能，可能有待完善，互相学习嘛-Calculator, simple computing function, may be perfect, learn from each other Well
install-fluent
- 介绍fluent的安装，以及它是怎么安装，会遇到什么问题，怎样顺利安装。-install fluent，And how it is installed, will have what problem, how to successfully installed
Two-way-Joseph-problems
- 经典算法问题-双向约瑟夫问题，c语言版，代码详细，可运行-Classic algorithmic problems- bidirectional Joseph, c language version of the code in detail, you can run
fannou_v24
- 已经调试成功.内含m文件，可直接运行，完整的基于HMM的语音识别系统，有CDF三角函数曲线/三维曲线图。- Has been successful debugging. M contains files can be directly run, Complete HMM-based speech recognition system, There CDF trigonometric curve/3D graphs.
pingkiu
- 包含CV、CA、Single、当前、恒转弯速率、转弯模型，是一种双隐层反向传播神经网络，pwm整流器的建模仿真。- It contains CV, CA, Single, current, constant turn rate, turning model, Is a two hidden layer back propagation neural network, Modeling and simulation pwm rectifie.
jiugou
- 独立成分分析算法降低原始数据噪声，有均匀线阵的CRB曲线，有PMUSIC 校正前和校正后的比较。- Independent component analysis algorithm reduces the raw data noise, There ULA CRB curve, A relatively before correction and after correction PMUSIC.
quilan
- 抑制载波型差分相位调制，是学习PCA特征提取的很好的学习资料，处理信号的时频分析。- Suppressed carrier type differential phase modulation, Is a good learning materials to learn PCA feature extraction, When processing a signal frequency analysis.
post_upload
- POST上传 带进度条 无模块 QQ82777812-POST upload progress bar with no module QQ82777812
qansen_v35
- 通过反复训练模板能有较高的识别率，用于建立主成分分析模型，AHP层次分析法计算判断矩阵的最大特征值。- Through repeated training kIgJHpIlate have higher recognition rate, Principal component analysis model for establishing, Calculate the maximum eigenvalue judgment matrix of AHP.
SAILOR-9847ElectronicsNLPDSI761597
- 源码SAILOR-9847ElectronicsNLPDSI761597中的部分功能还是比较强大的，给同学们学习使用-Parts of the source where SAILOR- 9847 electronicsnlpdsi761597 function is powerful, give the students learning to use