文件名称:convolutional-code
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（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
（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
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