KMeans

The DocPolynom to Character Converter The char method produces a character string that represents the polynomial displayed as powers of an independent variable, x. Therefore, after you have specified a value for x, the string returned is a syntactically correct MATLAB expression, which you can evaluate. The char method uses a cell array to collect the string components that make up the displayed polynomial. The disp method uses char to format the DocPolynom object for display. Class users are not likely to call the char or disp methods directly, but these methods enable the DocPolynom class to behave like other data classes in MATLAB. Here is the char method.

Simple phaser effet with all-pass filters

modelling of hvdc system

说明：  各种数字水印的MATLAB源码+论文，新手可以研究研究(MATLAB source code of various digital watermarking+ Papers)

一个自己写的前景提取程序，采用背景减除法得到运动前景，背景通过统计平均得到。(a matlab code for foreground Extraction , using background subtraction method to get moving foreground ,and we get the background by statistical averaging.)

以前西电研究生DSP大作业代码，都是C语言和Matlab完整版，可以供大家编程参考 (Former Western Electric graduate DSP great job code, C language and Matlab full version, can be programmed for your reference)

包括回归分析和概率统计，FIR 底通和带通滤波器和IIR 底通和带通滤波器，包括最小二乘法、SVM、神经网络、1_k近邻法,D-S证据理论数据融合，保证准确无误，是学习通信的好帮手，关于神经网络控制，FMCW调频连续波雷达的测距测角。( Including regression analysis and probability and statistics, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, D-S evidence theory data fusion, Ensure accurate communication is learning a good helper, On neural network control, FMCW frequency modulated continuous wave radar range and angular measurements.)

matlab函数列表以及功能说明，非常实用(matlab function lists, and feature descriptions, very useful)

利用MATLAB对语音进行端点检测，检测起始端和终点段(Using MATLAB speech endpoint detection, detecting the start and end segment ends)

本实验探讨了如何使用拉普拉斯来达到图像的增强效果（图像锐化）。(This study investigated how to use Laplace to achieve image enhancement (image sharpening).)