zunixiepaoyundong

一篇经典的mimo信道模型及其matlab源程序，对mimo及信道模型学习很有好处。(A classical MIMO channel model and its matlab source of MIMO channel model and a very good learning.)

说明：  实现了非均匀采样线性调频信号的精确重建，主要分为两部分：实现对线性调频信号的非均匀采样；非均匀采样重建。(A perfect reconstruction algrithm for non-uniform sampling LFM signals.)

对原有数据进行排列，找到它所在位置，求出符合要求的最小值(The original data are arranged in a position to find it, find the minimum to meet the requirements)

基于hmm的matlab程序，能够识别0—9十个数字(Hmm based on the matlab program, be able to identify dozens of figure 0-9)

power_sfavg.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_sfavg.rar, ,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

说明：  matlabpart3。matlab学习相关资料，适合初学者(matlabpart3. matlab learning the relevant information, suitable for beginners)

用matlab编程，关于RBF神经网络预测的问题(Using matlab programming, on the RBF neural network prediction problem)

说明：  BP神经网络实线0——9数字识别 MATLAB(BP neural network solid lines 0- 9 Digital Identification MATLAB)

双基地MIMO雷达系统DOA和DOD联合估计的MATLAB仿真程序，系统架构和算法可参考以下两篇原始文献。 Haidong Yan,Jun Li, Guisheng Liao.Multi-Target Identification and Localization Using Bistatic MIMO Radar Systems.(cited by 106)EURASIP Journal on Advances in Signal Processing , vol.2008, Jan. 2008. Ming Jin,Guisheng Liao,Jun Li. Joint DOD and DOA Estimation for Bistatic MIMO Radar. Signal Processing, vol.89,no.2,pp:244-251,Feb.2009(MATLAB simulation program for bistatic MIMO radar DOA and DOD estimation. Please refer the following papers for further information of the bistatic MIMO radar systam and corresponding algorithm. Haidong Yan,Jun Li, Guisheng Liao.Multi-Target Identification and Localization Using Bistatic MIMO Radar Systems.(cited by 106)EURASIP Journal on Advances in Signal Processing , vol.2008, Jan. 2008. Ming Jin,Guisheng Liao,Jun Li. Joint DOD and DOA Estimation for Bistatic MIMO Radar. Signal Processing, vol.89,no.2,pp:244-251,Feb.2009)

说明：  介绍了原子库形成及如何采用MP算法分解信号，如何用原子构造原始信号。(Describes the formation of atoms and how the library decomposition of the signal using MP algorithm, how to construct the original signal by atomic.)