matlabfunctiontrain

Least-square curve fitting using polynomials is probably the most basic way to perform some parametric regression analysis. Foor basic tools for polynomial curve fitting are provided here. I also strongly recommend the exhaustive function POLYFITN

matlab神经网络应用设计，里面随有详细代码(Matlab neural network application design, which with a detailed code)

本代码可以实现CIC的抽取滤波功能，性能很好(This code implements the CIC decimation function, performance is very good)

QAM的demo程序，功能很强大，有系统框图，很好理解。对于整个系统的设计帮助很大(matlab qam demo )

conditional random fields

matlab实现时间序列分析，供初学者学习(Time series analysis matlab realize, for beginners to learn)

matlab中的直方图均衡，适合初学图像处理者使用，希望采纳(matlab histogram equalization, image processing suitable for beginners to use, hope to adopt)

matlab函数手册，共300多页，包含了matlab所有重要函数，解释详尽，值得收藏。(matlab function manual, 300 pages, contains all the essential functions matlab, explained in detail, worthy of collection.)

说明：  遗传算法优化BP神经网络程序,很不错的，值得学习(GA for BP neural network training)

Function direct I Filter Call: [Y,Zf]=FDI(B,A,X,Zi) Parameters A(N), B(M), X(L)and Y(L) as in FILTER. Input Parameters: Zi(max(N,M)-1,2): Conditions iniciales. Zi(:,1): from zeros. Zi(:,2): from polos. Output Parameters: Zf(max(N,M)-1,2): final conditions. Zf(:,1): from zeros. Zf(:,2): from polos.