OD_estimate

MDCT s program. Can be used with matlab software. Easy to compilate.

实现坐标系的逆变换，即将dq坐标转换为abc坐标(dq TO abc)

宽带聚焦的目的是通过一个聚焦变换矩阵，使得对应于不同频段的数据变换成同一个中心频率的数据，从而形成相关矩阵。这里的关键就在于聚焦矩阵的选取，不同的选择对应于不同的算法。(Focus on the purpose of broadband are focused through a transformation matrix which corresponds to a different band with the data converted into a center frequency of the data, to form the correlation matrix. The key here is to focus on the matrix selected, different options correspond to different algorithms.)

POWELL算法求最小值，可求取多个函数的最小值，速度和精度都很高。(POWELL algorithms seek the minimum, the minimum can be to strike a number of functions, speed and accuracy are high.)

运用MATLAB对数子图像进行水印处理，过程包括水印的嵌入与水印的提取(The use of MATLAB on the number of sub-image watermarking, the process including the watermark embedding and watermark extraction)

key material for engeering mathmatics!(key material for engeering mathmatics.)

这里有几篇有关doppler frequency offset估计问题的相关文献，主要采用的是信道响应法，自相关法，循环前缀法来估计多普勒频移的。( Here are a few questions about the doppler frequency offset estimate of the relevant literature, is mainly used in the channel response, self-correlation method, cyclic prefix to estimate the Doppler frequency shift.)

使用robotic toolbox 可自行定义1至7自由度的机器人，并显示和移动 可以输入任意机器人参数，注意sigma=0是旋转关节，sigma=1为平移关节(Use robotic toolbox definable 1-7 DOF robot, and display and mobile robot can enter any parameters, note sigma = 0 is rotating joints, sigma = 1 for translational joints)

说明：  matlab 写的图像校正程序，实现图像校正的源代码(image correction program written in matlab)

说明：  《机器人控制系统的设计与MATLAB仿真》一书所有的matlab仿真程序。本书系统地介绍了机器人控制的几种先进设计方法，是作者多年来从事机器人控制系统教学和科研工作的结晶，同时融入了国内外同行近年来所取得的最新成果。全书以机器人为对象，共分10章，包括先进PID控制、神经网络自适应控制、模糊自适应控制、迭代学习控制、反演控制、滑膜控制、自适应鲁棒控制、系统辨识和路径规划。(&quot Robot Control System Design and MATLAB simulation,&quot a book all the matlab simulation program. This book introduces several advanced robot control design methods, is the author of the robot control system for many years engaged in teaching and research work of the crystal, while domestic and foreign counterparts into the latest achievements in recent years. Book to the robot as an object, divided into 10 chapters, including advanced PID control, neural network adaptive control, fuzzy adaptive control, iterative learning control, inversion of control, synovial control, adaptive robust control, system identification and path planning.)