Description: 本设计是一个基于FPGA的咬尾卷积码编码器设计，要求使用verilog语言编写编码器模块，通过编译和综合，并通过matlab和modelsim仿真对比验证设计结果。-The design is an FPGA-based tail-biting convolutional code encoder design requires the use verilog language encoder module, through compilation and synthesis, and by contrast matlab and modelsim simulation results validate the design. Platform: |
Size: 19602432 |
Author:郭婷 |
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Description: (2,1,7)卷积码编码器
能设置初始状态和生成多项式的系数-(2,1,7) convolutional code encoder can set the initial state and the generator polynomial coefficients Platform: |
Size: 500736 |
Author:wangjinchao |
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Description: 改程序包含通信系统中卷积码编码器，维特比硬译码子程序和维特比软译码子程序-Reform program includes communication system convolutional code encoder, Viterbi decoding routines hard and soft Viterbi decoding routines Platform: |
Size: 6144 |
Author:李白 |
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Description: 通信当中广泛使用的卷积码，文件包括编码器，译码器以及测试的三个主程序。经测试可用。-Convolutional code communication among widely used, the file includes an encoder, a decoder and a testing of the three main program. After testing is available. Platform: |
Size: 3072 |
Author:刘志刚 |
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Description: 这是深度学习的常用工具箱，里面包括常用的自动编码器、卷积神经网络和深度置信网络的函数-
This is a common toolbox depth study, which includes functions commonly used automatic encoder, convolutional neural network and depth of belief networks Platform: |
Size: 29469696 |
Author:liming |
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Description: 卷积码是一种重要的前向纠错信道编码方式，其纠错性能常常优于分组码，且(2,1,7)卷积码已应用于现代卫星通信系统中。Viterbi译码算法能最大限度地发挥卷积码的优异性能。这里采用Verilog HDL语言设计出(2,1,7)卷积码的编码器模块和基于Viterbi算法的译码器模块，译码器采用全并行结构，译码速度快-Convolutional code is an important forward error correction channel coding method, and its error correction performance is often better than the block code, and (2,1,7) convolutional code has been used in modern satellite communication system. Viterbi decoding algorithm can maximize the performance of convolutional codes. Here is the Verilog HDL design (2,1,7) convolutional code encoder module and decoder module based on Viterbi algorithm, the decoder is designed using the parallel structure and the decoding speed is fast. Platform: |
Size: 10240 |
Author:邓博于、 |
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Description: 基于OFDM系统802.11MATLAB仿真程序
main为主函数，mod2-add为莫2加，channel为信道，encoder为卷积码编码，decoder为维特比译码，receiver为接收端-OFDM system based on 802.11MATLAB simulation program
Main based function, mod2-add 2 plus, channel for the channel, encoder for the convolutional code, decoder for Vitby decoding, receiver for the receiver Platform: |
Size: 186368 |
Author:wang |
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Description: (2,1,5)卷积码编码器，目前网上还没有，有需要的可以下载-(2,1,5) convolutional code encoder, the current network has not, there is a need to download to see Platform: |
Size: 1024 |
Author:ycl |
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Description: 在MATLAB上设计一个（2，1，3）卷积编码器和对应的采用维特比译码算法的译码器。编码器的生成多项式为：[1 0 1；1 1 1]。将编码器的输出经过一个高斯白噪声信道的结果作为译码器的输入，观察比较译码器输出和编码器输入，了解卷积码的容错性，并计算译码结果的误比特率.(A convolutional coder (2, 1, 3) and corresponding decoder using Vitby decoding algorithm are designed on MATLAB. The generating polynomial of encoder is: [1 01; 11 1]. The output of the encoder through a Gauss white noise channel as a result of the decoder input, compare the output of the decoder and encoder input, understand the fault tolerance of convolutional code, and calculate the decoding results of bit error rate.) Platform: |
Size: 5120 |
Author:semperqaq
|
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Description: Watermarking is an operation of embedding infor-
mation into an image in a way that allows to identify ownership
of the image despite applying some distortions on it. In this
paper, we present a novel end-to-end solution for embedding and
recovering the watermark in the digital image using convolutional
neural networks. We propose a spreading method of the message
over the spatial domain of the image, hence reducing the local
bits per pixel capacity and significantly increasing robustness. To
obtain the model we use adversarial training, apply noiser layers
between the encoder and the decoder, and implement a precise
JPEG approximation. Moreover, we broaden the spectrum of
typically considered attacks on the watermark and we achieve
high overall robustness, most notably against JPEG compression,
Gaussian blur, subsampling or resizing. We show that an appli-
cation of some attacks could increase robustness against other
non-seen during training distortions across one group of attacks
— a proper grouping of the attacks according to their scope
allows to achieve high general robustness Platform: |
Size: 774757 |
Author:bamzi334 |
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Search - convolutional encoder