Description: 强烈推荐好用的卷积码编码，维特比译码和软判决，本代码简易可行。-Strongly recommend use of the convolutional code encoder, Viterbi decoder and soft decision, the code simple and feasible. Platform: |
Size: 3072 |
Author:胡卓 |
Hits:
Description: system view软件实现的卷积码编码译码过程。其中包括了硬判决和软判决两种方法-system view software decoding of the convolutional code encoding process. Including the hard decision and soft-decision in two ways Platform: |
Size: 1024 |
Author:Amy |
Hits:
Description: 实现了卷积码的viterbi译码，软判决和硬判决均可实现，是从英文教学书上抄下来的。-Achieved viterbi decoding of convolutional codes, soft decision and hard decision can be realized, from the English teaching books, copied down. Platform: |
Size: 5120 |
Author:roar |
Hits:
Description: 使用MATLAB实现卷积码的编译码，信源为随机产生数，进行软判决译码-Convolutional code using the MATLAB implementation of the codec, source for the randomly generated number, to soft-decision decoding Platform: |
Size: 1024 |
Author:吴雪 |
Hits:
Description: Script for computing BER with Binary Convolutional Code
and Viterbi decoding.
Convolutional code of Rate-1/2, Generator polynomial - [7,5] octal
Hard decision and soft decison decoding is used. -Script for computing BER with Binary Convolutional Code
and Viterbi decoding.
Convolutional code of Rate-1/2, Generator polynomial - [7,5] octal
Hard decision and soft decison decoding is used. Platform: |
Size: 3072 |
Author:Asfia |
Hits:
Description: Script for computing BER with Binary Convolutional Code
and Viterbi decoding.
Convolutional code of Rate-1/2, Generator polynomial - [7,5] octal
Hard decision and soft decison decoding is used. -Script for computing BER with Binary Convolutional Code
and Viterbi decoding.
Convolutional code of Rate-1/2, Generator polynomial - [7,5] octal
Hard decision and soft decison decoding is used.
Platform: |
Size: 6144 |
Author:thefar2012star |
Hits:
Description: Script for computing BER with Binary Convolutional Code
and Viterbi decoding with finite survivor state memory
Convolutional code of Rate-1/2, Generator polynomial - [7,5] octal
Hard decision and soft decison decoding is used.
Platform: |
Size: 6144 |
Author:thefar2012star |
Hits:
Description: 本书系统讲解了差错控制编码系统的基础理论和实际应用，主要内容包括：用于可靠数字传输和存储的编码、线性分组码、循环码、二进制BCH码、大数逻辑可译码与有限几何码、线性分组码的网格、卷积码、基于网格的软判决译码算法、Turbo编码、低密度单奇偶校验码、网格编码调制等。本书包含大量实例和习题，讲解深入浅出，分析细致透彻，是差错控制编码领域中的经典教材。-This book explains the system of error control coding system, the basic theory and practical application, the main contents include: digital transmission and storage for reliable coding, linear block codes, cyclic codes, binary BCH codes, decoding logic of large numbers with limited geometric codes, linear block code grid, convolutional codes, grid-based soft-decision decoding algorithm, Turbo coding, low-density single-parity-check codes, trellis coded modulation. This book contains a large number of examples and exercises, analysis. It s the classic textbook in the field of error control coding. Platform: |
Size: 20987904 |
Author:Winnie |
Hits:
Description: 卷积码的编码过程，维特比译码的硬判决和软判决，等效基带模型的仿真，包括QAM调制和PSK调制-Convolutional code encoding process, the Viterbi decoding hard decision and soft-decision, equivalent baseband model simulation, including QAM modulation and PSK modulation Platform: |
Size: 52224 |
Author:xgwx |
Hits:
Description: （1） 在c或matlab环境下实现卷积码编码模块，并嵌入实验一的通信链路中，要求编码模块有一定通用性可以设定约束长度、卷积码抽头系数；
（2） 设定约束度分别为7、9的1/2卷积码，仿真分析这些码的硬判决译码性能、绘制误码性能曲线，对比不同约束度下卷积码的性能，分析译码复杂性；
（3） 设定约束度为7的1/2卷积码，进行无量化软判决译码，仿真分析比较软硬判决译码性能；
（4） 设定约束度为7的1/2卷积码，量化比特分别为3、4、5、6，仿真分析比较量化对误码性能的影响；
（5） 对约束度为7的1/2卷积码，分别设定回溯长度为14、21、28、35、42进行仿真比较其性能。
-(1) achieved in c or matlab environment convolution code module, and a communication link embedded experiments, the encoding module requires a certain versatility can set the constraint length convolutional code tap coefficients (2) setting constraint degree respectively 7,9 1/2 convolutional codes, hard decision decoding performance simulation analysis of these codes, error performance curve drawing, comparing the performance of different constraints of convolution codes, decoding complexity analysis ( 3) the degree of constraint is set to 7 1/2 convolutional code-free quantized soft decision decoding, simulation analysis and comparison of hard and soft decision decoding performance (4) the degree of constraint is set to 7 1/2 convolutional code quantization bits respectively 3,4,5,6, simulation analysis and comparison to quantify the impact on error performance (5) the degree of constraint of 7 1/2 convolutional code are set back a length of 14, 21, 28,35,42 compare its performan Platform: |
Size: 2048 |
Author:刘介园 |
Hits:
Search - soft decision convolutional code