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ou
说明： 为了处理快速变化的动态环境,在微粒速度更新公式中增加了一项变化项,从而无需检测环境的变化就可以跟踪环境。尽管该方面的研究成果至今较少,但不容质疑这是一项重要的研究内容(To deal with the rapidly changing dynamic environment, update the formula in the particle velocity increased by a change in key, so no need to detect changes in the environment can track the environment. Although the results of research so far less, but no question this is an important research)
- 2010-09-03 23:24:02下载
- 积分：1
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capturaWebCam01
Capture images with webcam using Matlab
- 2011-10-03 06:47:34下载
- 积分：1
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Orchard.Rules
补充orchard Release版本没有的Rule模块（已编译）(orchard rule modal)
- 2015-03-02 20:46:55下载
- 积分：1
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code
求解线性不定方程组的一个基解（未知数个数大于方程个数），代码简单有效，可以利用该代码求出所有基解，从而得到不定方程组解得一般形式(A radical solution for solving linear equations uncertain (unknown number greater than the number of equations), the code is simple and effective, you can use the code to all base solution obtained, resulting in variable equations have the general form of the solution)
- 2014-01-05 10:12:14下载
- 积分：1
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小波变换以及小波包变换
该程序为小波变换以及小波包变换。将波形进行多尺度分解变换，得到近似系数以及细节系数。(The program uses wavelet transform to transform the waveform into multiscale decomposition, and obtains the approximate coefficient and the detail coefficient.)
- 2020-07-04 11:40:02下载
- 积分：1
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start
this code have fuzzy and pso code
- 2014-08-11 04:24:00下载
- 积分：1
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Profile_extraction
轮廓提取的子程序,matlab编的，有注释(Profile extraction subroutine)
- 2010-08-17 11:32:16下载
- 积分：1
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neural_direct
Neural network direct implementation using matlab
- 2011-04-26 14:07:48下载
- 积分：1
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MatlabCh8
MATLAB实用教程——高级编程技术（非常实用）(MATLAB practical tutorial- advanced programming techniques (very useful))
- 2012-10-28 18:07:40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
