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GaussJordan
matlab编写的适用于数值分析求解线性方程组的程序(matlab numerical analysis prepared for the procedure for solving linear equations)
- 2009-12-07 21:11:36下载
- 积分：1
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snake
活动轮廓模型也称蛇形，定义为最小的能量样条曲线(Active contour model, also known as snake, is defined as the minimal energy splines)
- 2011-06-30 17:39:17下载
- 积分：1
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LabVIEW(1)
this code about fuzzy controller
- 2013-08-15 00:21:14下载
- 积分：1
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basicgraph
basic implementation of graphs in matlab
- 2013-10-25 05:02:22下载
- 积分：1
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SVPWM
本文首先介绍了三电平逆变器的工作原理，以及空间电压矢量控制技术的基本原理。 其次，详细分析了传统三电平SVPWM算法，对每个主要模块都提出两种MATLAB仿真方法，归纳总结仿真技巧。(This paper firstly introduces the working principle of three-level inverter, and the basic principle of space voltage vector control technology. Second, traditional three-level SVPWM algorithm is analyzed in detail, for each main module proposed two MATLAB simulation method, sum up the simulation technique.
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- 2015-02-13 10:51:30下载
- 积分：1
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kkkkk
使用补偿法对电力系统进行静态安全分析的MATLAB编程语言(Static security analysis)
- 2010-05-31 09:20:19下载
- 积分：1
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scara_robot
SCARA four DOF planar articulated robot reference
- 2013-10-18 14:52:50下载
- 积分：1
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BasicWave
Matlab常用信号产生函数演示实例：编写一个M文件，依次产生均匀分布的随机序列、高斯白噪声随机序列、方波信号序列、三角波信号序列、正弦波信号序列，以及信噪比SNR为10dB的加性高斯白噪声正弦信号。(Matlab commonly used signal generating function demo examples: write a M file, in turn generating uniformly distributed random sequences, Gauss white noise sequence, square wave signal, triangle wave signal sequence, sine wave signal sequence, as well as for the 10dB than the SNR signal-to-noise additive Gauss white noise sine signal.)
- 2013-05-03 19:02:23下载
- 积分：1
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基于GMM的说话人识别
语音识别是近年来发展非常迅速的一项计算机智能技术，广泛应用在语音控制、身份识别等多个领域。本次项目主要研究语音识别的预处理过程和特征参数的提取环节。通过对原始语音信号进行预加重和分帧、加窗，滤除低频干扰，提升对语音识别有用的部分，消除了部分噪音和失真。预处理之后进行信号的特征提取，主要选取了短时平均过零率和MFCC两个特征参数，应用matlab软件绘制波形图并提取特征参数矩阵，为之后的语音信号的识别打下了基础。(Speech recognition is a computer intelligent technology which has developed rapidly in recent years. It is widely used in speech control, identity recognition and other fields. This project mainly studies the pretreatment of speech recognition and the extraction of feature parameters. Through pre-emphasis, framing and windowing of the original speech signal, the low frequency interference is filtered out, the useful part of speech recognition is enhanced, and some noise and distortion are eliminated. After pretreatment, feature extraction of signal is carried out. Two feature parameters, short-term average zero-crossing rate and MFCC, are selected. Waveform diagram is drawn by MATLAB software and feature parameter matrix is extracted, which lays a foundation for speech signal recognition.)
- 2019-04-06 10:53:48下载
- 积分：1
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movementdetector
it is project for servillence system
system.
- 2010-10-17 01:14:57下载
- 积分：1
