huwei0607

AppWizard创建了这个skeletonpruningdce应用你。这个应用程序 不仅表明了使用微软基础类的基本知识 但也编写应用程序的起点。(AppWizard has created this SkeletonPruningDCE application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application.)

如何设置窗口的额外字节等内容，setwindowlong,getwindowlong(How to set the window extra bytes, etc.)

用于脑电分析的各类源码，包括功率谱密度检测，事件相关同同步/去同步分析，脑地形图绘制等，已通过测试。 (For EEG analysis of various types of source, including the power spectral density testing, events associated with synchronization/desynchronization analysis of brain topographic mapping, etc., has been tested.)

Linear selection algorithm, similar to sequencing, the analysis algorithm to learn to be aware of

pso 算法的matlab实现， pso 算法的的matlab实现。 ，经测试可直接使用。 (pso algorithm matlab realize pso algorithm matlab realize. Has been tested and can be used directly.)

Matlab与C语言混合编程源代码，2012年出版的新书(Matlab and C language mixed programming source code, a new book published in 2012)

目标跟踪算法，运用交互多模型算法的卡尔曼滤波器。有文档，有程序，适用于初学者(Target tracking algorithm, using interactive multiple model Kalman filter algorithm)

数字信号处理－理论、算法与实现 一书中所涉及到的绝大部分算法。 Dsp_c C语言编写的算法程序。 Dsp_fortran FORTRAN语言编写的算法程序。 Dsp_matlab用MATLAB编写的信号处理程序，包含本书各个章节的 大部分例题。(" Digital Signal Processing- Theory, Algorithm and Implementation of a book related to most of the algorithm. The DSP_C C language algorithm. Dsp_fortran FORTRAN language written algorithm. Dsp_matlab prepared using MATLAB signal processing procedures, including most of the examples of the various chapters of the book.)

简单的matlabheed算法，适用于初学者(Simple matlabheed algorithm, it is suitable for beginners)

智能天线技术是第三代移动通信系统的关键技术之一，也是国内外热门的研究课题。由于无线移动通信的信道传输环境具有复杂性和不确定性，存在多径衰落和时延扩展，因此造成了符号间串扰、同信道干扰、多址干扰等，这些干扰降低了链路性能和系统容量，智能天线技术是解决以上问题的方法之一。 本文首先阐述了智能天线和白适应波束形成的基本理论，然后对自适应算法进行了研究。对一些基本的自适应算法最小均方算法、恒模算法及递推最小均方算法进行了分析讨论，用计算机仿真的结果论证了算法的性能。针对相干干扰介绍了空间平滑技术，对传统的相干干扰抑制方法-空间平滑法进行了分析，采用改进算法有效降低了空间平滑算法的运算量。对信号波达方向(DOA)的估计是智能天线研究的另一关键问题。第四章在介绍了阵列信号处理方法的基础上，先简单介绍了Bartlett、Capon、MUSIC等空间谱估计算法，分析了信源数目过估计与欠估计情况下的MUSIC算法性能，提出一种改进算法，在信源数目有误差的情况下该算法的性能良好。第五章针对多径干扰环境，在分析MMUSIC算法的基础上，本文提出了基于低秩矩阵逼近法的改进MUSIC算法(In this paper, firstly, the author illustrates the principles of smart antenna and adaptive beam forming, and then introduces some typical adaptive algorithms, the LMS ,CMA and RLS algorithms are analyzed and discussed and simulate them in the computer to prove their capability. but they have the disadvantage of high complexity, so they are not fit for practice. The paper analyses the conventional method rejecting spatial smoothing coherent interfering signals, which is spatial smoothing technique)