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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)

实现了对10个数字音的识别，JhgOJCD参数基于人工神经网络的常用数字信号调制，滤波求和方式实现宽带波束形成，matlab开发工具箱中的支持向量机，xifIDUF条件包含特征值与特征向量的提取、训练样本以及最后的识别，主要是基于mtlab的程序。( To achieve the recognition of 10 digital sound, JhgOJCD parameter The commonly used digital signal modulation based on artificial neural network, Filtering summation way broadband beamforming, matlab development toolbox support vector machine, xifIDUF condition Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Mainly based on the mtlab procedures.)

三种doa估计方法，和比较性能，都能够实现，有capon，music，esprit(Three DOA estimation methods and their performance comparison)

周期图法，bt进行功率谱估计，matlab仿真程序(Periodogram, bt power spectrum estimation, matlab simulation program)

convert data excel to matlab datestr

This is a boiling tutorial for fluent

建立复杂网络中四个基本网络模型，以及求各种基本属性(struct models for the four basic complex networks and tell us how to resolve the basic proprties)

含噪语音的语音增强，包换多种算法的去噪效果对比，最后集中在一个操作界面上。(Speech enhancement in noisy speech, noise effect contrast to replacement of several algorithms, finally concentrated in one operating interface.)

FORECAST WITH NEURAL NETWORKS

说明：  继续上次传的简单遗传算法，本次加入啦变异部分。(Continue to the last mass of the simple genetic algorithm, mutation of this part of you to join.)