matlab

在用matlab做语音信号处理时经常用到的enframe等函数，这在matlab中是没有的，需要下载专门的工具箱，这是从官网上下载的，可直接解压安装。具体安装方法网上一搜就能搜到。(Frequently used in speech signal processing using matlab enframe function in matlab there is no need to download a special toolbox, which is downloadable from the official website, you can directly extract the installation. Specific installation methods online search can be found to)

利用枝切法进行相位消跳变（解包裹）；有示例图像。(Elimination phase transition (unwrapping) use branch-cut has sample images.)

MUSIC方法，对相关矩阵分解为噪声子空间和信号子空间，然后搜索得到需要估计的频谱(MUSIC method, the decomposition of the correlation matrix for the noise subspace and signal subspace, then search to get the spectrum to be estimated)

Dear members this are new IEEE papers 2013 based on cloud computing, networking, security, wireless sensor networks.

介绍MATLAB的ppt课件，有助于在短时间里学会运用MATLAB。对数学建模很有帮助。(Introduction MATLAB-ppt courseware, helping in a short time learn to use MATLAB. Useful for mathematical modeling.)

UWB，超宽带信号分析必用的子函数，第11部分！(UWB, ultra-wideband signal analysis will be used for Functions, Part 10!)

关于MATLAB的编程和应用，及其在去除噪声中的应用，源程序的编写和修改(On MATLAB programming and applications, and its application in noise removal applications, the preparation and revision of the source code)

灰色系统程序，采用GM(1,1)思想，可在matlab中调用进行灰色系统预测等。(Grey system procedures, the use of GM (1,1) ideology, called in matlab gray system prediction.)

PDETOOLBOX工具箱在偏微分方程中对圆形边界的实例应用(The toolbox in partial differential equations PDETOOLBOX circular boundary instance applications)

Fuzzy c-means clustering (FCM) with spatial constraints (FCM_S) is an effective algorithm suitable for image segmentation. Its effectiveness contributes not only to introduction of fuzziness for belongingness of each pixel but also to exploitation of spatial contextual information. Although the contextual information can raise its insensitivity to noise to some extent, FCM_S (1) still lacks enough robustness to noise and outliers and (2) is not suitable for revealing non-Euclidean structure of the input data due to the use of Euclidean distance (L2 norm).