omp

FFT实践及频谱分析,帮助理解FFT及谐波处理的一些问题(Practice and FFT spectrum analysis, FFT and harmonic treatment to help understand some of the issues)

Type-1 fuzzy sets theory was proposed to handle uncertainty in control systems. But some cases showed some liabilities of Type-1 fuzzy sets when facing with unpredictable disturbance and uncertainties. Therefore Type-2 fuzzy sets was introduced and extended while providing more degrees of freedom in designing criteria. The most important specification of Type-2 fuzzy sets is the interval between a superior membership function and an inferior membership function which is called footprint of uncertainty. This paper presents a Bacterial Foraging Optimization approach for optimizing the parametrized membership function. The above criterion is applied to an Automatic Voltage Regulator system and results are presented and compared with previous method.

说明：  用于进行数据预测，即使数据点较少，预测的结果也比较好，适用于时间序列上的建模(It is used for data prediction, even if there are fewer data points, the predicted results are better, and it is suitable for modeling on time series)

雷达信号处理，巴克码信号波形仿真，主要是5位巴克码的仿真(Radar signal processing, Barker code waveform simulation)

压缩感知中一种测量方法。介绍如何构造测量矩阵。(Compression in a perceptual measurement method. Introduce how to construct measurement matrix.)

Breiman的bagging算法，是bootstrap aggregating的缩写，是最早的Ensemble算法之一，它也是最直接容易实现，又有着另人惊讶的好效果的算法之一。(Breiman’s bagging, short for bootstrap aggregating, is one of the earliest ensemble based algorithms.)

to extarct features cephalogram lateral view for classification

By using these matlab codes a simple BPSK modulation can be implemented. The format used is Polar NRZ

比较有名的matlab图像处理工具包，常见的一些图像处理功能里面都有，该工具包是一位从事计算机视觉研究的人写的，很好用，用起来也很方便(More famous matlab image processing toolkit, some common image processing functions which has the toolkit is a person engaged in computer vision research to write good use, and very convenient to use)

adaboost训练过程很烦琐，收集了Adaboost的改进算法的论文汇总，对做Adaboost的同志很有帮助(adaboost training process is very cumbersome, a collection of papers Improved Algorithm for Adaboost summary, very helpful for the comrades to do Adaboost)