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Description: 基于UDP实现简单的可靠数据传输
由于数据是在不可靠的信道上传输的，因此数据在信道上传输时可能会发生比特错误，数据丢失。Rdt3.0及之前的版本都是停止—等待协议，它限制了网络底层硬件的能力。为克服这个问题引入了流水线技术，两个能恢复流水线中的错误的基本方法：第N个分组重发和选择性重复。综上，要实现差错编码，顺序号，计时器，分组确认，滑动窗口，拥塞控制。-simple UDP based on the reliable data transmission of data is not reliable transmission of the channel, therefore the data transmission channel may occur bit error, data loss. Rdt3.0 and earlier versions are stop-wait for the agreement, which limits the underlying network hardware capabilities. To overcome this problem the introduction of pipeline technology, both of which can restore pipeline error in the basic methods : section N to a re-issued and selective repeat. In sum, to achieve error coding, sequencing, the timer, a confirmation, sliding window, congestion control.
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Size: 124739 |
Author: 周崇青 |
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Description: 一个JAVA的滑动窗口协议,可以很方便的实现ARQ滑动窗口协议-a sliding window protocols, it is quite easy to achieve ARQ sliding window protocols
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Size: 2306 |
Author: 江文 |
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Description: 提出了一种RBF网非线性动态系统在线建模的资源优化网络(RON)方法．RON
在资源分配网络的学习过程中引入了滑动窗口和网络结构在线优化的思想，使网络能根据最
近一段时间内的误差信息自动实现网络结构优化，从而使RBF网既能在线适应对象的变化，
又能使网络规模维持在较小水平，并保证了网络的泛化能力．使用滑动窗口技术使RON对学
习参数变化具有较好的鲁棒性，并更易收敛．三个标准例子演示了算法的有效性．-presents a RBF network nonlinear dynamic system modeling online resource optimization network (RON) method. RON resources distribution network in the learning process of introducing a sliding window and on-line optimization of the network structure of thinking, so that the network can According to the most recent information within the error automatically optimizing the network structure, so that the RBF network can meet the targets of the online changes also enable the network to maintain the small-scale level, and to ensure that the network generalization ability. Use sliding window technology allows RON learning parameters is robust, and easier to convergence. 3 standard examples demonstrate the effectiveness of the algorithm.
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Size: 182513 |
Author: zhxj |
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Description: 卷积码译码算法改进
实现Conv.(2,1,9)的编码、软判决滑动窗维特比译码，其生成多项式为G0=561(八进制),G1=753(八进制)，调制方式为BPSK，信道为AWGN，比较不同的译码深度对译码器性能的影响-convolutional code decoding algorithm to improve achievement Conv. (2,1,9) of the Code, Soft Decision sliding window Viterbi Decoder, generating polynomial for the G0 = 561 (octal), G1 = 753 (octal), for BPSK modulation mode, channel for AWGN, compare different depth of decoding decoder performance of
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Size: 47171 |
Author: 李春晖 |
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Description: 滑动窗口协议，还有网络环境模拟程序，可以模拟滑动窗口协议的网络环境。-sliding window protocols, and network simulation program that can simulate the sliding window protocols network environment.
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Size: 264898 |
Author: 董昌道 |
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Description: evc编写的，滑动窗口的例子，SDK编写，非 MFC-evc prepared for the sliding window examples SDK prepared, non-MFC
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Size: 76949 |
Author: hoozh |
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Description: VC6.0平台下对CMPP通信协议的实现，实现了滑动窗口流量控制-VC6.0 platform CMPP communication protocol to the realization of achieving a sliding window flow control
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Size: 39753 |
Author: 愚人 |
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Description: This paper proposes a new technique for rectangle
detection using a windowed Hough Transform. Every
pixel of the image is scanned, and a sliding window is
used to compute the Hough Transform of small regions of
the image.-This paper proposes a new technique for rec tangle detection using a windowed Hough Transf Vector. Every pixel of the image is scanned. and a sliding window is used to compute the Hough Transform of small regions of the image.
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Size: 160344 |
Author: 石决明 |
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Description: Input
The input consists of two lines. The first line contains two integers n and k which are the lengths of the array and the sliding window. There are n integers in the second line.
Output
There are two lines in the output. The first line gives the minimum values in the window at each position, from left to right, respectively. The second line gives the maximum values.
Sample Input
8 3
1 3 -1 -3 5 3 6 7
Sample Output
-1 -3 -3 -3 3 3
3 3 5 5 6 7-Input The input consists of two lines. The f irst line contains two integers n and k which are the lengths of the array and the sliding window. There are n integers in the second line. Output T here are two lines in the output. The first line g ives the minimum values in the window at each pos ition, from left to right, respectively. The second line gives the maximu m values. Sample Input 8 3 1 3 -1 -3 5 3 6 7 Sample Out put -1 -3 -3 -3 3 3 3 3 5 5 6 7
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Size: 1043 |
Author: 孔铁柱 |
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Description: 滑动窗口的数据流闭合频繁模式的挖掘算法，用VC编写-sliding window of data flow closure frequent pattern mining algorithm, prepared by VC
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Size: 16989 |
Author: tianya |
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Description: 一个简单的计算机网络程序，描述计算机滑窗协议。实现回退N帧。-a simple computer network program, describes the computer sliding window of the agreement. Reverting to achieve N frame.
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Size: 39559 |
Author: 映雪 |
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Description: 压缩解压算法LZ77算法有许多派生算法(这里面包括 LZSS算法)。它们的算法原理上基本都相同，无论是哪种派生算法，LZ77算法总会包含一个动态窗口（Sliding Window）和一个预读缓冲器（Read Ahead Buffer）。动态窗口是个历史缓冲器，它被用来存放输入流的前n个字节的有关信息。一个动态窗口的数据范围可以从 0K 到 64K，而LZSS算法使用了一个4K的动态窗口。预读缓冲器是与动态窗口相对应的，它被用来存放输入流的前n个字节，预读缓冲器的大小通常在0 – 258 之间。这个算法就是基于这些建立的。用下n个字节填充预读缓存器（这里的n是预读缓存器的大小）。在动态窗口中寻找与预读缓冲器中的最匹配的数据，如果匹配的数据长度大于最小匹配长度 （通常取决于编码器，以及动态窗口的大小，比如一个4K的动态窗口，它的最小匹配长度就是2），那么就输出一对〈长度（length），距离（distance）〉数组。长度(length)是匹配的数据长度，而距离(distance)说明了在输入流中向后多少字节这个匹配数据可以被找到。
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Size: 1440 |
Author: 孙海滨 |
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Description: 实现滑动窗口协议-achieve sliding window protocols
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Size: 8774 |
Author: 卢坚 |
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Description: 实现arq滑动窗口协议客户端源程序-achieve-sliding window protocols client source
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Size: 19171 |
Author: 李玄 |
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Description: 平滑滤波 一般来说，图像的能量主要集中在其低频部分，噪声所在的频段主要在高频段，同时系统中所要提取的汽车边缘信息也主要集中在其高频部分，因此，如何去掉高频干扰又同时保持边缘信息，是我们研究的内容。为了去除噪声，有必要对图像进行平滑，可以采用低通滤波的方法去除高频干扰。图像平滑包括空域法和频域法两大类，在空域法中，图像平滑的常用方法是采用均值滤波或中值滤波，对于均值滤波，它是用一个有奇数点的滑动窗口在图像上滑动，将窗口中心点对应的图像像素点的灰度值用窗口内的各个点的灰度值的平均值代替，如果滑动窗口规定了在取均值过程中窗口各个像素点所占的权重，也就是各个像素点的系数，这时候就称为加权均值滤波；对于中值滤波，对应的像素点的灰度值用窗口内的中间值代替。实现均值或中值滤波时，为了简便编程工作，可以定义一个n*n的模板数组。另外，读者需要注意一点，在用窗口扫描图像过程中，对于图像的四个边缘的像素点，可以不处理；也可以用灰度值为\"0\"的像素点扩展图像的边缘。下面给出了采用加权均值滤波的图像平滑函数代码和效果图：-smoothing filter general, the image of energy is mainly focused on the low-frequency part of the noise lies mainly in the high-frequency band, which system to extract the vehicle Edge Information has been concentrated in some of its high frequency, therefore, how to remove high-frequency interference at the same time, maintain the edge information, we Institute enforcement of the content. In order to remove noise, it is necessary for smooth images can be used to the low-pass filter to remove high-frequency interference. Image Smoothing including airspace and frequency domain method two categories, in the airspace law, the common image smoothing method is used Mean Median filter or filter for filtering mean, it is an odd point in the sliding window on the sliding images of the corresponding
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Size: 43854 |
Author: 123 |
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Description: Matching methods such as the Hungarian algorithm have recently made an appearance as an alternative to classical tracking algorithms in computer vision, since they are able to nd the set of tracks that optimizes well-dened criteria over a given video sequence. How- ever, despite being globally optimal, they carry a cost: since they require complete knowledge of the sequence, such methods can- not work with continuous video streams, a crucial requirement of realistic video surveillance applications. We were able to use the recently proposed Dynamic Hungarian Algorithm in an innovative way, adapting it to the well-known sliding window methodology. The algorithm is able to run in real-time, while retaining its opti- mality. We tested our implementation on several datasets, tracking humans and vehicles, and obtained reliable results using the same set of parameters on all sequences.
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Size: 347937 |
Author: kongsuhongbaby@126.com |
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Description: 实现滑动窗口协议-achieve sliding window protocols
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Size: 8192 |
Author: 卢坚 |
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Description: 链路层协议模拟的例子-link layer protocol simulation examples
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Size: 26624 |
Author: 张海青 |
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Description: 实现arq滑动窗口协议客户端源程序-achieve-sliding window protocols client source
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Size: 2302976 |
Author: 李玄 |
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Description: 四个网络协议在linux下的模拟实现，比如滑动窗口协议，可用来研究协议的性能-four network protocol in the linux Simulation, such as sliding window protocols, could be used to study the performance agreement
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Size: 21504 |
Author: 刘智莹 |
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