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matlab中对图形轮廓的特征提取代码，程序实现，(matlab in the graphic outline feature extraction code, program implementation,)

倒立摆的模糊控制实现的是其位移速度角度角速度的控制(Inverted pendulum fuzzy control is the control of the speed of the displacement angle angular velocity)

验证可用，采用偏最小二乘法，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。( Verification is available, Partial least squares method, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source.)

说明：  sift特征提取，然后再利用svm算法实现特征分类预测(SIFT feature extraction, and then use SVM algorithm to achieve feature classification and prediction)

疲劳检测Matlab程序，基于肤色的人脸识别，基于霍夫变换的圆检测，通过眨眼频率判断疲劳程度(fatigue detection)

IEEE802.16d模型属于对数正态阴影损耗模型，包含IEEE802.16d模型的仿真，并有相应的测试例，可以直接通过本源码得到模型详细数据(IEEE802.16d simulation model, and a corresponding test cases, detailed data model can be obtained directly by this source)

ica和FAST-ICA用于eeg伪迹去除，python算法(Ica and FAST-ICA for eeg artifact removal, python algorithm)

一个基于Matlab的人工免疫算法程序，对初学者很有用。(Immune Algorithm based on the immune network model for function f(x1,x2) optimum copy right SCUT Guangxing Tan )

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.)

很难得WEB。内部资料。初学者必看的，也是工程师们的良好的基础资料(A rare WEB. Internal data. Beginners a must-see, but also engineers a good basic information)