- Material_MIS 物资管理系统 一 开发环境 OS: Windows 2000 Server + SP2 IDE: Visual Studio 6.0 + SP5 DataBase: SQL 2000 Server + SP2 二 运行 1:创建数据库 将Material.sql中的SQL语句考入SQL Server的查询分析器中
- Javagame 使用Java编写的网络围棋游戏程序.非常简明
- ubuntu10.10Android2.2resource 视频代码JM的各个参数的解释
- ActiveX-media-player 编程实现媒体播放器
- arm7-switch-on-off at91sam7s256
- initializer_list_assignment The caller is responsible for calling PyMem
资源列表
zl3
- MATLAB在电力系统潮流计算中的应用以及实例分析(The application of MATLAB in power system flow calculation and case analysis.)
slm_psk_qam
- 解决OFDM系统存在的峰均比过高的新方法,结合SLM和PTS两种常用方法(The new method to solve the problem of high peak-to-average ratio in OFDM systems, combined with two common methods of SLM and PTS)
elmshixian(jiazhushi )
- 利用elm算法进行多分类或者回归,实现训练集和数据集的处理和分类(Using the elm algorithm for multiple classification or regression,realize the processing and classification of training set and data set)
music
- 经典一维music算法,实现雷达信号的角度估计(Classical one dimensional MUSIC algorithm)
sun2_rad
- 通过计算某地某日逐时太阳辐射强度,来得到综合温度(By calculating a certain day-hour solar radiation intensity, to get the integrated temperature)
维纳滤波器
- 实现维纳滤波的功能。包括时域和频域的实现。需要实现维纳滤波的可以参考。(Implement of Wiener Filter)
5.空间平滑MUSIC算法的MATLAB程序
- 空间谱估计中经典空间平滑算法,对相干信源的来波方向进行估计(Classical spatial smoothing algorithm in spatial spectrum estimation and estimation of the wave direction of coherent sources)
shiyan6
- 中心差分法计算计算结构的位移,用于结构的动力分析(The center difference method calculates the displacement of the structure for structure analysis.)
NMLSSS
- nlms算法,这个算法在一定程度上滤波效果还是比较满意的(NLMS algorithm;To a certain extent, the algorithm is satisfied with the filtering effect.)
wavefront
- 本实验应用声波方程作为正演模拟的波动方程,将所提供震源函数离散后绘图,并将给定两个二维速度 -深度模型,绘出图形。(In this experiment, we use the acoustic equation as the wave equation of forward modeling, draw the source function and draw it, and give two two-dimensional velocity depth models to draw the
对运动物体的三维跟踪
- 扩展卡尔曼滤波器在寻的知道问题中的算法分析(Algorithm Analysis of Exhaustive Kalman Filter in Knowing Problem)
心率变异数据处理
- 对心率变异得到的波值进行数据筛选、插值、去除趋势分析(Data filtering, interpolation and trend removal analysis)
