yongcidianji

Sinusoidal PWM for induction motor

matlab程序，高阶谱分析，信号谱分析的方法一起就存在了，高价谱分析是当代信号处理的主要工具。(Matlab procedures, higher order spectral analysis, signal spectral analysis method in existence, high spectral analysis of contemporary signal processing major tools.)

采用LBG算法计算矢量量化器的Matlab仿真程序。(use LBG vector quantization algorithm for the simulation program Matlab.)

利用MATLAB绘制等温线，以湖南省为例，绘制了省界，97县的位置以及等温线。(plot temperature contour through MATLAB.)

该演示中包含的代码演示如何氡相似的功能，可以用来提高（以及部分）在Connectome电磁图像单元格边界。 请举出下列文件如果您发现此代码有用： Ritwik库马尔，阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”，接受，IEEE计算机学会研讨会在生物医学图像分析（MMBIA）2010年数学方法 http://seas.harvard.edu/〜 rkkumar radonLikeFeaturesDemo.m：演示边缘增强用氡相似的功能， getEdgeFeatures.m：助手为高斯函数的二阶导数滤波器 makeBarFilters.m：助手为高斯函数的二阶导数滤波器 sample.png：示例图像在此演示使用(The demo included in the code demonstrates how Radon-Like Features can be used to enhance (and segment) cell boundaries in Connectome EM images. Please cite the following paper if you find this code useful: Ritwik Kumar, Amelio V. Reina & Hanspeter Pfister, “Radon-Like Features and their Application to Connectomics”, accepted, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010 http://seas.harvard.edu/~rkkumar radonLikeFeaturesDemo.m : Demonstrates edge enhancement using Radon-Like Features getEdgeFeatures.m : Helper function for Gaussian Second Derivative Filters makeBarFilters.m : Helper function for Gaussian Second Derivative Filters sample.png : Sample image for use in this demo )

matlab rgb to lab code color space

PID的matlab仿真，简单实用，强烈建议下载(simulation of PID algrithm)

MATLAB环境下基于OFDM系统的前导序列中短训练序列的误差估计仿真程序(the offset of the short training sequence of preamble)

语音信号的线性预测（LPC）方程的自相关解法及其matlab实现。(Speech signal linear prediction (LPC) the autocorrelation Solution of the equation matlab.)

粒子群优化的kriging近似建模程序包DACE-PSO，matlab程序，比传统的dace程序设置更少的参数(PSO kriging approximation modeling package DACE-PSO, matlab program package than traditional dace advantage: without determining Sigma parametersdetermine the Sigma parameters)