Learning.Programming.usingMATLAB

本文档记录了matlab的常用图像处理命令，通过学习，您可以掌握一些基本的图像处理技能。(This document records the common matlab image processing orders。through the study, you can master some basic image processing skills.)

对支票印鉴图像在HSV颜色模型下，根据设定的阈值对印鉴进行提取(Seal on the check image in HSV color model, based on the threshold of the seal set to extract)

提取数据波形时域特征（绝对幅值、平均值、峭度、过零点）并且用LDA分类(Time-domain waveform data extraction features (absolute amplitude, mean, kurtosis, zero crossing) and classification with LDA)

数值计算中机器精度的确定算法 MATLAB源程序 自带注释(machine precision)

着是对蓝牙技术的一个系统仿真的程序，使用的是MATLAB平台进行的(With Bluetooth technology is a system simulation procedures are used in the MATLAB platform)

说明：  用于图像处理，可以产生灰度图像。原理是采用滤波器滤除噪声。(For image processing, can produce gray scale images. Applies a filter filtering noise.)

蒙特卡罗分析，动态显示圆的生成，计算pi(Monte Carlo analysis, dynamic display circle generation, calculating pi)

hilbert黄变换处理端点效应的几种算法，需要外加信号(hilbert transform processing yellow endpoint effect of several algorithms, require the addition of signal)

Code of Fuzzy Logic Method

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.)