The-robot-arm

itk matlab 接口的windows版(itk matlab interface windows version)

设计一个一维wiener滤波器，并以平稳信号加噪为输入，得到该平稳信号的估计信号，并求出最小均方误差。(Design a one-dimensional wiener filter, and to smooth the input signal plus noise to get the estimated signal of the stationary signal, and find the minimum mean square error.)

matlab与c的联合编程的相关文，哈哈哈哈哈哈哈(matlab and c joint programming document)

matlab ctrllab30, CtrlLAB is a group of MATLAB functions which provide graphical interface to perform feedback system analysis and design tasks.(matlab ctrllab30, CtrlLAB is a group of MATLAB functions which provide graphicalinterface to perform feedback system analysis and design tasks.)

dc drive current contro

说明：  探究粒子群算法对电机的估计，具有重要意义。(It is important to explore the estimation of the motor by particle swarm.)

图像分割算法之间的比较，比较前沿的放发，利用了kmeans和模糊K均值(Between the image segmentation algorithm compares the release cutting-edge hair, use a K-means and fuzzy kmeans)

scene graph implementation...完成一个SCENE GRAPH，可以在屏幕上添加，删除各种物体，并完成旋转，调整位置等操作()

BCJR译码算法的matlab源代码，附有详细注释，适合学习map算法实现。(BCJR decoding algorithm matlab source code, detailed notes, suitable for studying the map algorithm. )

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.