Bayesian_ICAmf_algorithm_for_the_linear_instantan

关于MATLAB分类的工具箱。 希望对你有所帮助！(MATLAB toolbox on the classification. I hope for your help!)

说明：  本书是“移动通信前沿技术系列”之一，全书共分18个章节，主要对协作通信及网络知识作了介绍，具体内容包括空时分集和编码、空时频分集与空时频编码、中继信道及协议、单中继协作通信、多节点协作通信等。全书内容分为三部分，第一部分回顾传统的MIMO系统，介绍空间、时间、频率分集的概念。第二部分主要考虑协作通信物理层的关键问题，并对其提出了行之有效的解决方案，比如针对协作通信的分布式特点，提出分布式空时(频)码；针对协作通信的频谱效率问题，提出了新颖和有效的协作方案。第三部分介绍协作通信对物理层之上的MAC层、网络层及应用层产生的影响，内容涉及如何协作路由，如何通过协作使网络覆盖范围增大，如何延长网络寿命等。(This book is one of the "cutting edge mobile communication technology series". The book is divided into 18 chapters, mainly on cooperative communications and network knowledge and specific content including the empty hours of collection and coding, space-time-frequency diversity and space-time frequency coding, relay channel and protocols, single-relay cooperative communication, multi-node cooperative communications.)

基于MVDR的波束形成 有3个信号入射方向(MVDR beamforming three signals incident direction)

说明：  荣格库塔法解微分方程组，比matlab自带的ode求解命令更准确，误差更少(Rong-Kutta method for solving differential equations group' s ode to solve than the matlab command comes more accurate, less error)

进行波束形成并画出图片，时域频域和DFT波束形成 (For the beam formation and draw pictures, DFT frequency domain and time domain beam-forming)

现代谱估计的程序，对给定的随机信号利用yule-walker方程进行谱估计与其理想功率谱进行谱估计的对比，并比较参数。(Modern spectral estimation procedures, given the use of yule-walker random signal spectrum estimation equation from its ideal power spectrum spectrum estimation contrast and compare the parameters.)

说明：  读取SEGY，SU等格式的地震数据、地质雷达数据。最新版本的matlab源文件，在以前版本做了很大的修改，可以读任意时间段或任意CDP段的数据，使用灵活方便。(Read SEGY, SU format, such as seismic data, geological radar data. The latest version of matlab source files, in previous versions to do a lot of changes, can be read any time or any segment of the CDP data, flexible and convenient.)

Designing various filetrs using simulink

详细讲述交直流调速在MATLAB之中的仿真模型绘制，并配有细致入微的参数设置！具体详实！(Detailed account of the AC and DC speed control in the MATLAB simulation model among the draw, and with attention to detail parameter setting! Specific and detailed!)

this will helpful for region merging algorithm