closeness-centrality

用matlab编写的整数规划的程序。包括：用割平面法求解整数规划，用分支定界法求解整数规划，用枚举法（包括穷举法和隐枚举法）求解0－1规划(integer programming)

生成高斯白噪声信号，可设置采样率和采样点数等。(Generated white Gaussian noise signal, you can set the sampling rate and sampling points and so on.)

matlab 生成dtmf 进行双频合成(dual-frequency synthesizer for generating dtmf matlab)

TSP-PSO算法的matlab程序文件，有助于了解该算法(The produce of matlab about TSP-POS)

matlab实例编程一百个源程 相当有用， 学习学习(good)

数字信号处理基于matlab 文件内容 /conv(卷积部分) dupconv 重叠保留法 freqcirconv 频域圆周卷积 freqconv 频域卷积 timecirconv 时域圆周卷积 timeconv 时域卷积 /fft(频域分析部分) d2fft 基2FFT dft DFT最简化程序 dtft DTFT演示 /fir(fir滤波器设计) fir 得到fir滤波器hn getwindow 得到fir滤波器窗函数wn idealfilter 理想滤波器(低通,高通,带通)hdn idealhd 理想低通滤波器 /fir gui(fir滤波器GUI设计) gui_top 总图 gui_fir fir滤波器GUI gui_sigout 选择信号GUI /power caculate(功率谱分析) directpower 直接谱分析 indirectpower 间接谱分析(估计谱分析) noise 噪声谱分析 /sigout(常见信号产生) sigout 离散信号产生(Digital signal processing matlab based on the content of the document/conv (convolution part) dupconv law of reservations freqcirconv overlapping frequency domain circular convolution freqconv frequency domain convolution timecirconv time-domain circular convolution timeconv time-domain convolution/fft (frequency domain analysis part) d2fft base 2FFT dft DFT the most simplified procedure dtft DTFT demo/fir (fir filter design) fir be fir filter hn getwindow be fir filter window function wn idealfilter ideal filter (low pass, high pass, band-pass) hdn idealhd ideal low-pass Filter/fir gui (fir filter GUI design) gui_top general layout gui_fir fir filter selection GUI gui_sigout signal GUI/power caculate (power spectrum analysis) directpower direct spectral analysis indirectpower indirect spectral analysis (spectral analysis estimated) noise noise spectrum analysis/sigout (common signals) sigout discrete signals)

动量理论-叶素理论计算涵道螺桨诱导速度及拉力系数(failed to translate)

对农产品的销量进行预测，首先是归一化处理，再用LSSVM进行预测(To predict agricultural product sales, the first is normalized, and then LSSVM forecast)

This is model for Permanent magnet synchronous motor by using SVPWM This is done using vector control technique PMSM is made sensorless with the help of sliding modle observer

一个简单的卡尔曼滤波程序，以实现状态估计，并给出了仿真结果(a simple Kalman Filter)