语音信号分析软件，提取美尔倒谱系数特征，等。

此程序是基于灰度共生矩阵的图像纹理特征提取算法，它进行了四个方向上的灰度共生矩阵的计算，从而得出他们的纹理特征向量，再求均值，使计算进度大幅度提高(This program is based on the GLCM texture feature extraction algorithm, which was four directions GLCM calculation to arrive at their texture feature vector, and then seek means to significantly increase computing progress)

1.1 MATLAB软件介绍 1.1.1 MATLAB发展进程 1.1.2 MATLAB的基本功能 1.1.3 MATLAB语言的特点 1.1.4 MATLAB R2011a的新功能 1.2 MATLAB安装与运行 1.3 MATLAB的运行环境 1.3.1 命令窗口 1.3.2 历史命令窗口 1.3.3 工作空间 1.3.4 当前文件夹 1.4 MATLAB帮助文档 1.4.1 帮助窗口 1.4.2 帮助命令 1.5 变量 1.6 矩阵 1.6.1 矩阵创建 1.6.2 数列创建 1.6.3 矩阵的基本运算 1.7 高维矩阵 1.7.1 创建高维数组 1.7.2 高维数组操作函数 1.8 演示MATLAB 1.9 小波分析概述 (1.1 MATLAB Software 1.1.1 MATLAB development process 1.1.2 MATLAB basic functions 1.1.3 MATLAB language features 1.1.4 MATLAB R2011a new feature 1.2 MATLAB installation and operation 1.3 MATLAB runtime environment 1.3.1 Command Window 1.3.2 History Command Window 1.3.3 Workspace 1.3.4 Current folder 1.4 MATLAB help documentation 1.4.1 Help Window 1.4.2 Help Commands 1.5 Variables 1.6 Matrix 1.6.1 Creating Matrix 1.6.2 series created 1.6.3 Basic operation matrix 1.7 high-dimensional matrix 1.7.1 Creating high-dimensional arrays 1.7.2 High-dimensional array manipulation functions 1.8 demo MATLAB 1.9 Overview of Wavelet Analysis )

空气中声传播的fdtd例程，简单可用，希望对大家有帮助(Fdtd airborne sound propagation routines, simply available, we hope to help)

MATLAB的平台下mfcc的参数提取，可用于说话人识别,适用于声纹门禁系统(MATLAB platform MFCC parameter extraction for speaker recognition, suitable for voiceprint access control system)

利用bp神经网络建立汽油样本值及其辛烷值之间的数学模型，并对数学模型的性能进行评估。经过训练后得出具体的预测结果，并显示出详细信息。

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!)

说明：  kda程序 用于matlab环境下不同核函数分类问题(kda program for matlab environment classification of the different kernel function)

基于VRML的视景仿真程序，可用于各种姿态下的目标图像生成，对研究图像跟踪非常有用。(VRML based simulation program, which can generate target image with several psoes, which is useful for image tracking.)

图像处理图像处理图像处理图像处理图像处理(image process)

利用 RSSI值对几何估算区域进行划分，运用改进公式计算出新的未知节点位置。(The geometric estimation area is divided by RSSI value, and the new unknown node position is calculated by the improved formula)