3.20

介绍了一种新的滤波方法，并给出了具体应用对象和理论分析，可以为非线性滤波研究提高新的方向(Introduces a new filtering method, and gives the specific application objects and theoretical analysis, nonlinear filter can improve the new direction of)

说明：  波达方向处理基础知识加算法程序，很适合新手使用(Basic knowledge and algorithm program of DOA processing)

Calculate the permissible actions of electron self pipeline

说明：  信号处理工具包 《MATLAB信号处理》刘波、文忠、曾涯 编著(signal processing)

Specific bus support for PMC-TWI compliant implementation on MSP71xx.

本文件中包含的代码是使用Bayesian compressive sensing 理论对图像降噪，修复的程序(his package includes 4 folders. Folder toydata contains core code and demo of the original BRPCA Model Folder MarkovDependency contains core code and demos of the modified BRPCA Model with Markov dependency employed Folder NonstationaryNoise contains core code and demos of the modified BRPCA Model with Markov dependency employed and the noise variances are different from contuguous frames. Folder Videodata contains the video data used by the experiment.)

12行： host= gatest ％在matlab的安装盘,例如c:下设置的程序运行结果目录。 ">

《MATLAB神经网络30个案例分析》中的第12个例子，案例12 SVM神经网络的数据分类预测-葡萄酒种类识别。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 12 cases 12 data classification of SVM neural network prediction- wine species identification. Hope to have certain help to everybody! )

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.

Noise-92 can be used for speech enhancement experiment, including babble, pink noises etc.