ceshi_Excel

《Sparse and Redundant Representations：From Theory to Applications in Signal and Image Processing》Michael Elad的电子书，讲稀疏表示及其应用(《Sparse and Redundant Representations：From Theory to Applications in Signal and Image Processing》Michael Elad )

使用matlab软件，用欧拉方法求解微分方程组！！！！！！！(use matlab to solve mathematical problem)

说明：  由于matlab代码中若有很多循环结构，执行效率就会降低。本文献教你怎么写出高质量的matlab代码(Because if many matlab code cycle structure, the implementation of the efficiency is reduced. The literature teach you how to write high-quality matlab code)

这个程序主要是通过经典ESPRI算法和ESPRIT_SVD算法来实现DOA估计(This program is mainly achieved by the classic ESPRI algorithm and ESPRIT_SVD algorithm DOA Estimation)

ZIGBEE用MATLAB实现的源代码,可用于初学者用来学习和测试(Tree-Based Data Broadcast in IEEE 802.15.4 and ZigBee Networks.this is for new learners to use.)

开环闭环对比的MIMO信道容量，附公式推导的word文档，对物理层安全理论推导有一定借鉴意义(Comparison of open loop closed loop MIMO channel capacity, word documents attached derivation of the theoretical derivation of the physical layer security will provide experience)

基于信道的历史信息来预测不同信道的未来可用时间可以帮助CR选择一个最佳信道进行信息传递。不同的预测准则应用到周期或是随机的开关模式中。一个CR可以学习以往不同信道的模式。我们提出一个简单的分类和学习方法去检测模式的类型和收集需要的信息用于智能信道的选择。MATLAB仿真结果显示提出的方案在随机信道的随机和周期模式中都有优越的表现。随着时间的变化，新到的切换次数减少到55 ，并且延迟时间也相应减少，而吞吐量却在提高。(Prediction of future availability times of different channels based on history information helps a cognitive radio (CR) to select the best channels for control and data transmission. Different prediction rules apply to periodic and stochastic ON-OFF patterns. A CR can learn the patterns in different channels over time. We propose a simple classification and learning method to detect the pattern type and to gather the needed information for intelligent channel selection. Matlab simulations show that the proposed method outperforms opportunistic random channel selection both with stochastic and periodic channel patterns. The amount of channel switches needed over time reduces up to 55 , which reduces also the delay and increases the throughput.)

TRAINPSO is a network training function that updates weight and bias values according to particle swarm optimization.

Mathematica教程，介绍如何启动Mathematica软件，如何输入并运行命令(Mathematica5 study)

基于隐马尔科夫模型HMM的人脸识别程序，使用Matlab编写，提取的人脸识别特征为DCT系数(it is face detection codes based on HMM Model ，you can run iton Matlab，the feature from face is DCT)