▍1. elm.m
运用极限学习机实现数据的预测,通过验证发现效果比普通神经网络好(Using Extreme Learning Machine to Achieve Data Forecast)
使用DDE23实现tcp 拥塞控制算法的分岔(Using dde23 of matlab to achieve the congestion control of tcp, it contains 3 pictures)
四个麦克风基础上的三维声源定位。留着备用(Four microphones on the basis of three-dimensional sound source localization.)
一个基于DCT系数的视频水印嵌入程序,读取yuv文件,提取其中的若干帧,然后对每帧做DCT变换,在中低频修改系数值,然后做IDCT,再把每帧图像组成YUV格式播放。(DCT coefficients of a video-based watermark embedding program, read the yuv file, extract the number of frames, and then do each frame DCT transform coefficients in the low-frequency changes, then do IDCT, then each frame component YUV format player.)
This function localizes a single source from a frame of data received at the microphones. It uses the Steered Response Power with the PHAse Transform (SRP-PHAT) as the functional.
说明: 本程序用于AQM网络的拥塞分析。 我们将TCP/IP网络用流体模型表示,网络拥塞时,对应的系统模型将出现不稳定,本程序采用2-D稳定性检验算法判断稳定性,进而确定网络的拥塞条件。 程序的前言部分给出了参考文献,使用者对照参考文献可以理解本程序提供的算法。(This procedure for analysis of AQM network congestion. We will be TCP/IP networks that use fluid model, network congestion, the corresponding system model will be unstable, the procedures used 2-D stability testing algorithm to determine stability, and thus determine the conditions of network congestion. The preamble of the procedure are given references, the user control references of this procedure can be understood algorithms.)