DOA-estimation-with-ESPRIT

FFT的频谱分析及应用 包括模拟信号 、连续信号、 以及噪声信号的频谱分析(FFT spectrum analysis and application of analog signals of a continuous signal and the noise signal spectrum analysis)

Matlab可视化界面设计与控件使用源代码名称：exam 调试环境：Win XP；Matlab 6.5 (Matlab visualization interface design and control the use of the name of the source code: exam debugging environment: Win XP Matlab 6.5)

基于麦克风阵列的自适应波束形成算法.它是基于SMI自适应算法(Microphone array based adaptive beamforming algorithm which is based on the SMI adaptive algorithm)

压缩感知 重构算法集合 包含：CoSaMP,GBP,IHT,IRLS,MP,OMP,SP(Reconstruction algorithms for sparse Representation of Compressed Sensing)

RLS最小均方误差算法的自适应滤波程序及其应用(Least-mean-square error RLS adaptive filtering algorithm and its application procedure)

this package is som tool box for clustering algorithm

在matlab平台上使用SVM对iris数据集进行分类(use SVM Classification of Iris data set in matlab)

使用MATLAB函数对数字滤波器进行设计和实现(The use of MATLAB function of digital filter design and realization of)

用计算机语言编写图的连通性判断算法，可输入图的邻接矩阵，判断图是否连通以及确定连通分支的个数，掌握Warshell算法或矩阵幂算法的实现方法。(Written in a computer language to determine the connectivity graph algorithms, you can enter the adjacency matrix to determine whether the connectivity map and determining the number of branch connectivity, master implementation Warshell algorithm or matrix power algorithm.)

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].