2010-04-15_Balanced_PSO

波前曲扭和幅度变化对阵列测向中相干源分辨的影响(Twisted and curved wavefront amplitude variation to distinguish the impact of coherent source direction finding in an array)

实验四 数字解调与眼图 1. 验证2DPSK 相干解调原理。 2. 验证2FSK 过零检测解调原理。 (Four digital demodulation experiment with eye diagrams 1. verify the 2DPSK coherent demodulation. 2. Verify 2FSK zero-crossing detection and demodulation principle.)

VC与MATLAB图像处理与识别_源代码(VC and MATLAB image processing and recognition)

Matlab算法分析与设计程序，包括很多搜索算法的源程序。(Matlab algorithm analysis and design procedures, including many search algorithm of the source.)

混沌时间序列求嵌入维(embedding dimension)Cao方法(Chaotic time series seeking embedding dimension (embedding dimension) Cao method)

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

这是自己写的骑士巡游问题的源代码，控制台实现没有图形化(This is, the parade was the Knights of the source code, not realizing console Graphic)

kalman的学习资料 很好的东西 一起学习吧(kalman learning materials good stuff)

awgn信道的建模。matlab实现方针，进行了比较(awgn channel modeling. matlab realize the principle of a comparative)

相信大家见过了star的上线和大灰狼的插件版 Wolf结合了star 的上线，大灰狼的插件功能，比原来的更强大，上线更稳定！！！！ 为了庆祝咖啡上了百度第一页，现在开源了这套源码！！！也给新手朋友练练手，小狼已经处理过了，免杀好做！！！ 同时也给有需要的可以2次开发 (I believe we have seen the star on the line and the big bad wolf of plug-in version Wolf combines on-line star, the wolf s plug-in functionality, more powerful than the original, more stable on the line! ! ! ! To celebrate coffee on the first page of Baidu, now open source set of source! ! ! But also to the novice friends to practice your hand, coyotes have been handled, free to kill better to do! ! ! But also to those in need can be twice Development)