面齿轮建模

DOS下256色汉字显示turboc代码，使用ＵＣＤＯＳ字库-DOS under the Chinese characters display 256 colors TurboC code, use the font UCDOS

在对适用于 ＧＰＳ／ＩＮＳ组合导航非线性模型的容积卡尔曼滤波进行深入研究的基础上，提出了一种改进的多重渐消 Ｈ∞ 鲁棒容积卡尔曼滤波算法．基于系统状态的可观测性给出多重渐消因子矩阵求解过程，提高滤波算法的稳定性，抑制滤波发散；引入 Ｈ∞ 鲁棒思想，构造多重渐消Ｈ∞ 鲁棒容积卡尔曼滤波器；提出采用一种奇异值分解的矩阵分解策略代替标准容积卡尔曼滤波中的 Ｃｈｏｌｅｓｋｙ分解，进一步提高算法的数值稳定性．结果表明：改进的多重渐消 Ｈ∞ 鲁棒容积 算法不仅能有效抑制滤波发散，提高算法的稳定性，还对观测异常值具有更高的鲁棒 性；(Based on the in-depth study of the volume Kalman filter for the nonlinear model of GPS/INS integrated navigation, a new method is proposed. An improved multi-fading H_ infinity robust cubic Kalman filter algorithm is proposed. Based on the observability of the system state, the multi-fading is given.)

unix或linux下的DNA分析软件源码 其功能如下 1. Edit up to 256 peptide or DNA sequences simultaneously. 2. Translates DNA->protein click next to display next frame. 3. Dot matrix plot of any 2 sequences. 4. Rudimentary amino acid statistics (MW and amino acid percentage) 5. Saves matrix plot as PBM image format. 6. Sequence reversal. 7. Creates alignment file for highlight (below). 8. Tab key toggles editing of next sequence. -unix or linux DNA analysis of the software source code of its functions is as follows : 1. Edit up to 256 peptide or DNA sequences simultaneously. 2 . Translates DNA-

无损检测过程中需考虑聚焦声场，本代码实现聚焦声场在固体传播声压可视化(Sound pressure visualization of Focused sound field)

第一二章vb基础复习题、第三章语言基础复习题、第四章控制结构复习题、第五章数组复习题(Vb first two chapters review the basis for the title of Chapter III Review Problems language basis, the fourth chapter Exercises control structures, Chapter V array Exercises)

这些是我到目前在PKU上做出的题目，给大家分享一下。-These are what I currently make in the PKU subject to share with you.

说明：  RX8010 RTC驱动代码，已通过硬件调试成功，欢迎大家下载参考(RX8010 RTC code has already pass hardware test, please download and have a reference.)

说明：  筛选海域卫星方位角和高度角，方便进行GNSS-R反演过程中高度角和方位角的确定(Screen satellite azimuth and altitude angle in sea area)

说明：  餐厅管理系统，可以增删改查，还在改进，还不行吗(Restaurant management system, you can add, delete, modify and check, is still improving, is not it possible?)

说明：  基于python3.6版本的２０４８算法开发(Development of 2048 algorithm based on python3.6)