HFS-algorithm

Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of sample points, but techniques based on Reproducing kernel Hilbert space regularization exist for adding this capability.[12] Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.

对数据中出现的情况分为三类进行匹配，正常，不正常，和未知，对不正常的数据进一步分析- (data on the case are divided into three types matching, normal, abnormal, and unknown, not normal for further analysis of the data-)

一个增强版的遗传算法，用于波束赋形，可供初学者学习使用。(An enhanced version of the genetic algorithm for beamforming, for beginners to learn to use.)

多层感知神经网络对SI发动机逼近训练,对20000组真实数据进行训练，画出仿真图(trainning net for SI enine)

完美非均匀质量载荷压电薄膜，这是一个MATLAB程序，可以运行。(Perfect non-uniform mass loading piezoelectric film, which is a MATLAB program that can run.)

宽带数字接收机，英文经典，相比中文版，更加原汁原味(Wideband digital receivers, the English classic, compared to the Chinese version, more authentic)

求出语音mel倒谱系数的matlab代码，返回mfc(function mfc=mfcc(x) )

基于matlab的坐标变换程序，通过坐标的平移和旋转，实现坐标系中不同位置处物体三维坐标匹配。(Matlab-based coordinate transformation program, through coordinate translation and rotation, to achieve three-dimensional coordinates of the object at different positions to match the coordinate system.)

详细的介绍了有关HMM模型的基本思想，是一本很好的资料！(Detailed introduction of the HMM model of the basic idea is a very good information!)

对数据的分析，特别是线性回归其中有好几种方法来进行！(Analysis of the data, in particular linear regression in which there are several ways to carry out!)