TV

最大类间法进行图像的前景和背景的分割，并进行二值化处理(Most kinds of method between the foreground and background of the image segmentation, and binarization processing)

基-4FFT算法，数字信号处理课程的基础算法之一(Group-4FFT algorithm, one of the basic algorithm for digital signal processing courses)

说明：  用R语言写出的copula-GARCH函数(copula-GARCH function using R language)

阵列信号，16阵元，3信源的线阵条件下的线性预测算法(Array signal, 16 array, 3 sources of linear conditions, the linear prediction algorithm)

Realizar un script en MatLab para implementar el juego de la vida diseñ ado por el matemático británico John Horton Conway en 1970, este juego es un autómata celular que consta de una matriz donde cada casilla puede contener vida (célula blanca) o no contener vida (célula negra):

EFG code for cantilever beam with end loads. introduction to mesh free.

matlab版本 图论中的kruskal算法 一般C版本的比较多，这里提供matlab版本的，更简单方便使用 (Matlab code of kruskal algorithm in graph theory)

实现物种功能的语音处理：倒谱、时域、频谱、语谱图以及功率谱，并加有详尽的注释。另外还可以保存图像，一倍后来研究！matlab ＧＵＩ编程(Voice processing functions to achieve species: cepstrum, time domain, frequency spectrum, spectrogram and power spectrum, and add detailed comments. It also can save the image, doubled and later research!)

分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39％；二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.(Support vector regression analyzes advantage in energy demand forecast to determine the set of input vectors and output vector set, established SVR energy demand forecasting model based on Matlab technology. Energy demand for our 1985-2008 related data modeling and simulation , and China in 2010 and 2020 energy demand forecast results show that: First, China s increasing demand for energy in the future, from 3.304 billion tons of standard coal in 2010 rose to 4.1832 billion tons of standard coal in 2020, average annual growth rate of 2.39 second is to solve our energy system small sample nonlinear and high dimensional pattern recognition problem SVR higher prediction accuracy than the BP neural network method.)

基于二阶和高阶统计量的MIMO系统盲信道估计，可完美进行信道估计，进行误码率及误差分析等。(Based on second-order and higher-order statistics of the MIMO system, blind channel estimation can be the perfect channel estimation carried out for the bit error rate and error analysis.)