matlab_code

车牌识别 MATLAB 字符分割 源代码 图像处理 (Image-segmentation-Extraction)

用matlab高斯消元法求解方程组，主程序里输入矩阵即可(Solving equations with matlab Gaussian elimination, the main program can input matrix)

多时间尺度的统计与表达 基于MATLAB语言(The source of the multi-time scale display based on MATLAB)

一种利用光流法检测运动物体的程序，供初学者参考。(Optical flow method by means of a moving object detection procedures for advanced users.)

高阶谱分析，很实用，能帮助分析非平稳信号(Higher order spectral analysis, it is useful to help analyze non-stationary signals)

说明：  用M文件写的模糊控制器，不是采用的模糊工具箱(M file written by the fuzzy controller, not using the fuzzy toolbox)

说明：  自动随机优化超声波感器位置，达到信号测量最优(Optimal sensor location)

Power Systems Debbs Solution

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.)

这是回声状态神经网络的源代码，很难找的哦！！！！！！！！！！！！(This is the echo state neural network source code)