Introduction-to-Probability-Models

说明：  syllabe detection using STE

基于Nystrom的约束谱聚类，通过Nystrom取样的方式有效降低维度，提高求解速度(Nystrom spectral clustering based on constraints, sampling by Nystrom way to reduce the dimensions and improve the solution speed)

用matlab处理声音文件，详细讲述了从录音到成离散信号的过程。对matlab初学者很有帮助。(Sound files with matlab processing, from recording to detail into discrete signals. Matlab helpful for beginners. )

三自由度机械臂的运动工作空间，可以实现角度与坐标的变换(Three degree of freedom mechanical arm movement working space, may realize the angle and the transformation of coordinates)

D*lite算法的C++实现，已经在ubuntu linux下面测试通过！(C++ Implementation of D*lite Algorithms)

用matlab编写的k-dtree，加快搜索，在点云拼合中应用广泛。(Matlab prepared with k-dtree, to speed up the search, put together in the point cloud in a wide range of applications.)

使用MATLAB语言写的，LM算法,将LM算法应用于神经网络的训练，大幅提高速度(Using MATLAB language, LM algorithm)

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)

hht_toolbox工具箱用 时频分析必备 大家共同学习(HHT toolbox for HHT time-frequency analysis )

usefull doc for face detection and face recognition in matlab