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卷积码是一种有记忆的编码，在任意给定的时间单元处，编码器的n个输出不仅与此时间单元的k个输入有关，而且也与前m个输入有关。卷积码通常表示为：（n,k,m）
本次仿真采用（2，1，3）卷积码。
-convolutional code is a kind of code memory, in any given unit of time, the encoder output n this time not only with the elements of the k input, but
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这里提供了二进制双极性（2，1，3）卷积码通信系统的蒙特卡罗仿真函数，并与未编码系统作了比较。-here for a binary bipolar (2,1,3) Convolutional Codes communications systems Monte Carlo simulation function, and with no coding system were compared.
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实现（2，1，7）卷积编码以及相应的viterbi译码-achieve (2,1,7) convolutional code and the corresponding Viterbi decoding
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瑞利信道下(2,1,3)卷积码仿真，得到误码率曲线。-Rayleigh Channel (2,1,3) Convolutional Codes simulation results, BER curves.
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Convolutional(2,1,6) Encoder and soft decision Viterbi Decoder
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Convolutional(2,1,6) Encoder and soft decision Viterbi Decoder
刚才上载的有错误,已修正
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LogMAP译码算法,可用于递归卷积编码和非递归卷积编码的译码，代码质量高，供参考,<1> Log MAP decoder for RSC and NSC convolutional codes
<2> Based on Lalit Bahl s original BCJR algorithm and its logarithmic version (Hanzo & Woodard).
<3> Test-bench code is also inclu
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（2,1,7）归零卷积码的维特比译码算法的matlab实现-(2,1,7) convolutional codeviterbi algorithm matlab implementation
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（2，1，7）卷积码，用matlab实现-(2,1,7) convolutional code with matlab implementation
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卷积码编码仿真程序，编码速率为1/2；在Matlab环境下仿真，适用于初学者。-Convolutional code simulation program coding, coding rate of 1/2 in the Matlab simulation environment for beginners.
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卷积编译码的matlab仿真，包括1/2,2/3 3/4三种信道卷积编译码-Matlab simulation of convolutional encoding and decoding, including 1/2, 2/3 3/4 convolutional encoding and decoding three-channel
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Its a convolutional encoder with code rate of 1/2 and constraint length of 3.
i/p=1 bit
o/p=2 bits with 4 memory elements
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matlab实现（2.1.3)卷积编码，已经通过调试过程，可以直接下载使用-matlab implementation (2.1.3) convolutional coding, has been through the debugging process, you can directly download
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（2,1，2）归零卷积码的维特比译码算法matlab实现-(2,1,2) convolutional codes Viterbi decoding
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scr ipt for computing BER with Binary Convolutional Code
and Viterbi decoding.
Convolutional code of Rate-1/2, Generator polynomial - [7,5] octal
Hard decision decoding is used.
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matlab仿真中的（2,1,2）卷积码和维特比译码的码源。-matlab simulation (2,1,2) convolutional code and Viterbi decoding of the code source.
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卷积码编码采用编码函数codec对（2,1,3）卷积码编码，其参数m为输入信息序列，g1，g2为两个输出端口的冲激响应序列。-Convolutional code using the codec for coding function (2,1,3) convolutional code encoder, the parameters m for the input information sequence, g1, g2 for the two output ports impulse res
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能够实现(2,1,2)卷积编码及译码，模拟信道传输-It enables (2,1,2) convolutional coding and decoding, analog channel transmission
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this code is BJCR for decoding 1/2 convolutional code
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卷积神经网络分类 调制信号识别
卷积神经网络（Convolutional Neural Networks, CNN）是一类包含卷积计算且具有深度结构的前馈神经网络（Feedforward Neural Networks），是深度学习（deep learning）的代表算法之一 [1-2] 。卷积神经网络具有表征学习（representation learning）能力，能够按其阶层结构对输入信息进行平移不变分类（shift-invariant classification），因此也被称
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