sift-MATLAB

一种很容易理解的svm matlab工具箱,可用于分类，回归，并附有很多示例。(A very easy to understand svm matlab toolbox, can be used for classification, regression, together with many examples.)

说明：  一维FDTD的可视化实现，注释详细完备，适合初学者。光在一D真空中的传播。(The one-dimensional FDTD visualization of complete, detailed notes, suitable for beginners. That light travels in a vacuum in communication of D)

轴承信号小波变换，四层小波包分解，提起频带能量(Bearing wavelet transform)

Like Matlab s scatter command, lscatter produces a scatter plot. Unlike scatter, it allows you to also use a vector of labels that are used instead of the usual uniform markers. lscatter(x,y,l) generates a scatter plot where label{i} is placed at the coordinate (x(i),y(i)), for all i. The program accommodates a large number of options which make it easy to taylor the output to your needs. The included example script should help you get started. Please comment if you like it or find it useful.

an image quality assessment trial

别人的边界元程序，是关于势的边界元源程序，平台matlab(Someone else)

这是一本描述随机过程在物理和生物系统中应用方面的书籍(Freund, J. A. et al.(eds)- stochastic processes in physics, chemistry, and biology- springer, 2000Springer.Verlag.Freund.Poeschel.(2002).Stochastic.Processes.in.Physics.Chemistry.and.Biology)

空间平滑多信号分类角度估计算法MATLAB实现(Multiple signal classification spatial smoothing angle estimation algorithm based on MATLAB realization)

MUSIC算法[1]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 algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

FxLMS - Filtered X - LMS for ANC systems (offline initiation)