Unt

主要是文章的算法验证。 Yaojili——验证算法，转换方程 Y_all——计算转换7参数 Y_angel——生成500组数据，验证算法 姚吉利——3维坐标转换参数直接计算的严密公式——文中标注为勘误。

ANSI input 5p2 implementation

实现高斯背景建模，并且提取运动目标。具有良好的适用性(Gaussian background modeling to achieve, and extract the moving target. Good applicability)

GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper - in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.(GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper- in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.)

butterworth highpass filter

我们设计和实验证明 布拉格光栅波分复用器 三波长的平面光波电路复用 公交车站台。1310和1550 nm的光，被设计成 由一个半周期通过定向耦合器分离后 和一个完整的周期耦合作用与0.07和0.19分贝的损失， 分别。1492 nm的光反射回来的布拉格 光栅对定向耦合器及其制作少损失 超过2分贝。我们也介绍和讨论新概念 集成光学三工收发器，使用此过滤器。 (We designed and experimentally demonstrated a Bragg grating-assisted wavelength-division-multiplexing filter for the three-wavelength multiplexing on a planar-lightwave-circuit platform. The 1310- and 1550-nm lights were designed to be separated after passing the directional coupler by a half-cycle and a full-cycle coupling actions with losses of 0.07 and 0.19 dB, respectively. The 1492-nm light was reflected back by a Bragg grating fabricated on the directional coupler and its loss was less than 2.0 dB. We also introduced and discussed the new concept of an integrated optical triplexer transceiver using this filter.)

IT GIVES SAMPLING THEOREM

DVB-T 2k模式定时估计Matlab仿真。重新修改了程序。包括DVB-T信号产生，瑞利多径信道衰减，高斯噪声加入。 定时估计的粗定时用极大似然法，细定时用分散导频。首先确定导频模式，再通过相邻导频相关确定定时偏差。此方法适用于瑞利多径信道，高斯信道，也适用于莱斯多径信道。 信道估计利用DVB-T导频，LS估计，导频位置的时间插值，非导频位置频率插值，非常有效。 该程序经过多次运行无误，不足之处在于变量使用不规范，注释简单，读程序很费劲哈。 其特点是均采用经典算法，简单有效为主，对初学者很有帮助滴。(DVB-T 2k signal, timing estimation, channel estimation)

非常强大的语音分析软件 包含使用手册 程序包括win unix两个版本 (speech analysis toolbox, code is well written, recommended)

这个是对16QAM各种界的一个整理，给出了仿真程序，对于初学者来说具有重要的意义。(This is a finishing 16QAM various circles, the simulation program, for beginners is of great significance.)