fenxingandxiaobo

一般非线性规划的算法，适合于不使用矩阵的情况。(General nonlinear programming algorithm, for the case without matrix.)

灰度变换增强程序 1.灰度变换增强程序 2.直方图灰度变换 3.直方图均衡化程序举例 4.直方图规定化程序举例 1.线性平滑滤波 2.中值滤波器 3. 4邻域8邻域平均滤波算法 1.低通滤波器 2.布特沃斯低通滤波器图像实例(Enhanced gray-scale transformation procedure 1. Enhanced gray-scale transformation procedure 2. Histogram gray-scale transformation 3. Histogram equalization procedure for example 4. Histogram specification procedure for example 1. Linear smoothing 2. Median filter 3.4 8 neighborhood neighborhood average filter algorithm 1. low-pass filter 2. Butewosi Image examples of low-pass filter)

对一个等边三角形，每条边按照Koch曲线的方式进行迭代，产生的分形图称为Koch雪花。编制程序绘制出它的图形，并计算Koch雪花的面积，以及它的分形维数(An equilateral triangle, each edge iterations, in accordance with the manner of the Koch curve generated fractal images is known as the Koch snowflake. Programmed to draw its graphics, and calculate the area of the Koch snowflake, and its fractal dimension)

Matlab 加入高斯白噪声，并计算加入噪声后信号的自相关 和加入噪声后信号和理想信号的互相关 ，将以上参数代入函数中进行维纳滤波。(Matlab Gaussian white noise, and calculated after adding noise autocorrelation and added noise signal and the ideal signal cross-correlation signal, the above parameters into function Wiener filtering.)

hessian point detector 是SURF算法中所采用的基于Hessian矩阵进行的特征点检测方法，检测得到椭圆区域。(feature detector)

Assistive technology

ofdm中几种常用的调制方式的调制和解调程序，包括：BPSK、QPSK、16QAM、64QAM(modulation )

Bit Error rate Simulation

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.)

说明：  自相关的matlab程序。可以用于信号的周期性监测。(Since the procedures related to matlab. The cyclical nature of the signal can be used for monitoring.)