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此为用MATLAB语言写的基于KPCA、PCA算法的人脸检测程序，对于对比学习KPCA和PCA有很大帮助(This is the face detection program which is written by matlab , and it will help you a lot to learn the difference between KPCA and PCA)

MATLAB-based voice signal analysis and processing curriculum design

说明：  Matlab数学建模算法全收录，数学建模需要的大部分算法，模型都有(Matlab mathematical modeling algorithm all included, mathematical modeling needs most of the algorithm, the model has)

adaptive fitering of the signal and computing the spectrum of signals

一个关于FSK的matlab编写的小程序，欢迎大家指正讨论(FSK s matlab on the preparation of small procedures, welcome to correct me to discuss)

Designs a linear phase FIR lowpass filter such that it: - minimizes maximum stopband attenuation - has a constraint on the maximum passband ripple This is a convex problem (when sampled it can be represented as an LP). minimize max |H(w)| for w in the stopband s.t. 1/delta <= |H(w)| <= delta for w in the passband ( where H is the frequency response function and variable is h (the filter impulse response). delta is allowed passband ripple. )

灰色关联度matlab源程序，灰色关联度分析法是将研究对象及影响因素的因子值视为一条线上的点,与待识别对象及影响因素的因子值所绘制的曲线进行比较,比较它们之间的贴近度,并分别量化,计算出研究对象与待识别对象各影响因素之间的贴近程度的关联度,通过比较各关联度的大小来判断待识别对象对研究对象的影响程度。(Gray correlation matlab source code, gray correlation analysis method is to study the factors and factors affecting the value of the points as a line, with the object to be identified and factors affecting the value of the factor curves drawn compares them to the between the proximity, and were quantified to calculate the object to be identified with the study of factors affecting the degree of correlation between the close degree of correlation by comparing the size of the object to be identified to determine the degree of influence on the study.)

matlab编写的RBF神经网络两相流流型辨识程序(RBF neural network matlab prepared flow pattern identification procedure)

运用matlab，LBP局部二值模式程序的完整阐释，对学习LBP帮助效果佳(Use matlab, full interpretation of LBP Local Binary Pattern program to help good effect on learning LBP)

面对大量的交通参数数据,如何快速建立高效的分类预测模型以尽快地对拥堵状态进行判别是一个重要的问题(Face a lot of traffic parameter data, how to quickly establish an efficient classification model to predict the state as soon as possible to discriminate on the congestion is an important issue)