litcompensation_FPM

《Matlab在化学工程中的应用》该书是我见过的一本相当有用的一本书 具有很高的针对型哦("Matlab in chemical engineering application," I have seen the book is of a very useful book is a against high-Oh)

hough transform that enable u to do skew correction.

小波神经网络是一种利用小波分析和人工神经网络结合的智能模型，是一种人工智能模型。本程序利用小波神经网络进行短时交通流量预测。(Wavelet neural network (WNN) which is the combination of wavelet analysis and artificial neural network is used to predict the future traffic.)

create feature untuk feature horisontal

DividePlane：用割平面法求解整数规划 (DividePlane: by cutting plane method for solving integer programming)

一个3线8线译码器在matlab中的电路图(3 line 8 line decoder circuit diagram based on matlab)

通过将广义预测控制器转换成模型预测控制器的方法来达到广义预测控制的目的，对学习和使用gpc和mpc非常有用。(The generalized predictive controller converts the model predictive controller to achieve the purpose of generalized predictive control, very useful to learn and use gpc and mpc.)

电话拨号音的合成与识别 基于对电话通信系统中拨号音合成与识别的仿真实现，主要涉及到电话拨号音合成的基本原理及识别的主要方法，利用 MATLAB 软件以及 FFT 算法实现对电话通信系统中拨号音的合成与识别。并进一步利用 MATLAB 中的图形用户界面 GUI 制作简单直观的模拟界面。使其对电话通信系统拨号音的合成与识别有个基本的了解。 能够利用矩阵不同的基频合成 0 － 9 不同按键的拨号音，并能够对不同的拨号音加以正确的识别，实现由拨号音解析出电话号码的过程。(Synthesis and recognition telephone dial tone Based on telephone communication system dial tone Simulation synthesis and recognition, mainly related to the basic principles of the main methods telephone dial tone synthesis and recognition, using MATLAB software and the FFT algorithm for synthesis and recognition telephone communication system dial tone. And further use of MATLAB graphical user interface is simple and intuitive GUI making analog interface. Synthesis and recognition make telephone communication system dial tone have a basic understanding. Can be different the fundamental frequency of matrix synthesis 0 9 dial tone different keys, and can be correctly identify different dial tone, dial tone achieved by the parsed telephone number of processes.)

matlab编写的kmeans均值聚类程序。可以分多类！！(matlab prepared the kmeans mean clustering program. Division multiple class! !)

pca与ica相结合的特征选择,进行主成分分析以后，再对所得特征进行独立成分分析(the combination of pca and ica for feature selection，after Principal component analysis, the resulting characteristics is has a independent component analysis )