K_MEANS

说明：  一般粒子群算法，可以解决一般的优化问题，有较好的收敛性和计算速度。(General particle swarm algorithm to solve optimization problems in general, better convergence and calculation speed.)

DTMF信号检测，在MATlab开发环境下根据GOERTZEL进行编程。(DTMF signal detection)

Do an 2 matlab nhậ n dạ ng hình dạ ng sả n phẩ m

机器人路径规划中局部路径规划常用的人工势场法，matlab原代码(robot path planning local path planning commonly used artificial potential field, the original code Matlab)

<精通MATLAB>根据这本书写的相应的运筹学里的源代码，都是最基本的算法，没有进行改进(<Proficient in MATLAB> According to this writing tacticians in the corresponding source code, are the most basic algorithm, no improvements)

优化算法，寻找全局最优解，放入matlab预设目录直接可以使用(optimization algorithm)

本算法描述了cdma反向信道的功率控制问题，包括基站以及移动台的功率控制以及相关的文章(description of the algorithm cdma reverse channel power control, , including base stations and mobile stations of the power control and the relevant article)

CurveLab-1.0工具箱，附带一些demo(CurveLab-1.0 toolbox，with some demo)

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：  此文件包含了zoom-fft算法语言，结果与FFT对比图片输出(This file contains ZOOM-FFT algorithm language, the results are compared with FFT image output.)