各类预测程序

一些关于IIR数字滤波器的设计理论，还有Matlab源程序，供设计数字滤波器人员参考(Some information about IIR digital filter design theory, as well as Matlab source code for the design of digital filters for reference staff)

说明：  设计的一个FIR滤波器，可以直接运行的工程，实现低通、高通、带通。可以选择窗函数类型。滤波器阶数，截至频率。(The design of an FIR filter, can directly run the project, to achieve low-pass, high pass, band-pass. You can choose the window function type. Filter order, cutoff frequency.)

this zip file contains m-file as functions to fingerprint enhancement.

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)

第17章 数据统计和分析.zip。是从书中光盘里直接拷贝的代码，放在这里，与大家共享，共同交流，希望对大家有帮助。(Chapter 17 Statistics and analysis.zip)

matlab离散信号时域分析，和频域分析实例，适合基础者使用。（来源课堂个人实验）(Matlab discrete time-domain signal analysis and frequency domain analysis of the examples, the use of suitable infrastructure. (Source individual classroom experiment))

TG11 M-file for TG11.fig TG11, by itself, creates a new TG11 or raises the existing singleton*.

产生双声道音频信号！(Have a dual-channel audio signal!)

萤火虫算法的基本源代码，简单易懂，适合新人学习。(GSO simple scource codes，easy for learners。)

数字信号处理书籍的matlab程序，内含许多数字信号处理内容，值得下载(digital signal processing procedures Matlab books, containing many digital signal processing, is worth the download)