MatlabNotes

qpsk在加性高斯白噪声下的误码率仿真 (qpsk BER simulation)

全面讲解matlab7.0的原理与使用方法(Fully explain the principle and use matlab7.0)

The module can optionally operate with a private cache that understands the Cache-Control: header and uses both the ETag and Last-Modified cache validators. Both file system and memcached based caches are supported. (Automatically adds back ETags into PUT requests to resources we have already cached. This implements Section 3.2 of Detecting the Lost Update Problem Using Unreserved Checkout)

基于统计特征实现调制方式识别，供大家参考(stastical features based modulation recognition. )

NON LINEAR SYSTEM RESOLVER APPROACH

MATLAB信号处理仿真包括PDF版本和代码(MATLAB signal processing simulation including PDF version and the code)

毕业论文 基于LSB图像水印系统设计matlab实现(Graduation thesis matlab based on LSB image watermarking system design)

QC的使用教程，原版英文，欢迎下载.QC的使用教程，原版英文，欢迎下载(this is qc tutorial lessons)

OFDM信道估计的相关介绍，对于入门相当有利(OFDM channel estimation related presentations, very favorable for the entry)

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.)