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this is the fifth file of coding in matlab

matlab 实现基于dbdcan的聚类算法，帮你在matlab中简易的实现了解( it helps you study cluster alogroim in the matlab )

基本粒子群算法，可解决优化问题，简单，效果好，实用(Basic particle swarm algorithm, solve the optimization problem, simple, good effect, practical)

matlab 运用PCA算法对图像降维级图像重建代码(matlab image using PCA dimensionality reduction algorithm for image reconstruction code level)

c++ 调用matlab的程序 c 调用matlab的程序例子(c++ call matlab process procedures c call matlab example)

Partial integration with system SyncManager we tell our EAS SyncManager to start a calendar sync when we get the signal from the system SyncManager.

说明：  ofdm系统下的频偏估计算法，moose算法的仿真(Frequency Offset Estimation ofdm system simulation algorithm, moose algorithm)

下行信道加扰源码,matlab编写,方便对通信模型的仿真和学习(Downstream channel scrambling codes, matlab prepared to facilitate the simulation model for communication and learning)

gaussian mixture model

In this work, the Mel frequency Cepstrum Coefficient (MFCC) feature has been used for designing a text dependent speaker identification system. The extracted speech features (MFCC’s) of a speaker are quantized to a number of centroids using vector quantization algorithm. These centroids constitute the codebook of that speaker. MFCC’s are calculated in training phase and again in testing phase. Speakers uttered same words once in a training session and once in a testing session later. The Euclidean distance between the MFCC’s of each speaker in training phase to the centroids of individual speaker in testing phase is measured and the speaker is identified according to the minimum Euclidean distance. The code is developed in the MATLAB environment and performs the identification satisfactorily.