ex4_5

灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 ，其元素 （5-1） 有： 对数列 ，可建立预测模型的白化形式方程， （5-2） 式中： ——为待估计参数。分别称为发展灰数和内生控制灰数。设 为待估计参数向量 则 按最小二乘法求解， 有： （5-3） 式中： （5-4） （5-5） 将（5-3）式求得的 代入（5-2）式，并解微分方程，有 （1，1）预测模型为： （5-6）(gray forecasting model called CM model, the G-gray of a letter, the M model for the first letter. GM (1,1), a band of a variable type of differential equation models. GM (1,1) is a sequence of single-band linear dynamic model, mainly for time series prediction. A GM (1,1) model series with a total value of observation for the cumulative production, to a new series of its elements (5-1) : The series, we can establish the prediction model albino form of equation (5-2) where :-- to question the estimated parameters. The development will be known as the gray and hygiene control within a few gray. Set parameters to be estimated according to Vector least squares method, are : (5-3) where : (5-4) (5-5) (5-3) that obtained in lieu of income (5-2)- and solutions differential equations, (1 1) Fore)

matlab的基本教学源码，虽然简单但是浅显易懂。(matlab source code of the basic teaching, although a simple but easy to understand.)

基于pca算法的人脸识别软件，有界面，有注释，有图像库(Pca-based face recognition algorithm software, interface, with annotations, a image library)

Gabor 滤波器工具箱，包含各种Gabor滤波器的函数，可用于于图像滤波处理，特征提取，如人脸，掌纹，指纹识别等。 已通过测试。 (Gabor Filter Toolbox contains a variety of Gabor filter function, can be used to deal with image filltering, feature extraction, such as face, palmprint, fingerprint recognition. Have passed the tests. )

数据处理matlab中关于gapp算法的代码(About gapp algorithm in matlab code)

BER for BPSK modulation

SEP and Heead cluster-based wsn

Wireless Sensor Networks (WSNs) are comprised of thousands of sensor nodes, with restricted energy, that cooperate to accomplish a sensing task. Various routing Protocols are designed for transmission in WSNs. In this paper, we proposed a hybrid routing protocol: Zonal-Stable Election Protocol (Z-SEP) for heterogeneous WSNs. In this protocol, some nodes transmit data directly to base station while some use clustering technique to send data to base station as in SEP. We implemented Z-SEP and compared it with traditional Low Energy adaptive clustering hierarchy (LEACH) and SEP. Simulation results showed that Z-SEP enhanced the stability period and throughput than existing protocols like LEACH and SEP.

发表在《science》上的一种基于密度峰值的聚类算法源程序(Cluster algorithm based on density peak)

经过改良的经验模态分解降噪方法，认为噪声为高斯噪声。(The improved empirical mode decomposition denoising method considers noise as Gauss noise.)