矩阵或H矩阵可以进行线性分组码的编码和译码。
G matrix or H matrix can be linear block code encoding and decoding.
模拟结果显示，分组码采用网格译码，可为移动衰落信道带来显著的性能改善。
Results show that system performance is greatly improved when this trellis decoding method of block codes is adopted.
本文提出了一种源于汉明类多层前向神经网络分组码译码器。
This paper presents a neural network decoder of linear block codes which originates from Hamming network.
然后对网格空时码（STTC）和分组空时码（STBC）的编译码原理、特点和性能进行了全面的分析；
Then the encoding and decoding theories, features and performances of STBC and STTC are detailed in all aspects.
本论文给出了一种简单分组码-（7，4）汉明码编、译码器的单片机实现方案。
This paper provides a hardware-realizing scheme of coding and decoding of(7,4) Hamming Code using the single chip microcomputer.
提出一种新的不等保护分组码译码算法——树状图算法。
This paper presents a new decoding algorithm of unequal error protection (UEP) code, which is called tree topology.
硬件部分主要由电话机线路、译码电路、解码电路、控制电路等几部分组成。
The hardware is made up of the telephone circuit, decoding circuit and controlling circuit.
全文共分三部分：分组码的编码、分组码的译码以及卷积码。
This paper consists of three parts: encode and decode of the block codes and the convolutional codes.
线性分组码的最小距离译码是NP -难问题，但有些情况可解。
The minimum distance decoding of linear codes is NP-hard, but some solvable cases exist.
空时分组码采用最大似然译码，译码复杂度相对较低。
The STBC uses Maximum Likelihood (ML) decoding and its complexity of decoding is very low.
并行级联分组码也已经显示出接近香农理论极限的卓越性能，而其译码采用的也是一种相对简单的迭代译码技术。
The parallel concatenated block code has been shown to yield remarkable performance close to theoretical limits, yet admitting a relatively simple iterative decoding technique.
接收器一般由接收电路、放大电路、解调电路、指令译码电路、驱动电路和执行电路几部分组成。
Receiver general by the receiving circuit, amplifier, demodulator circuits, instruction decoder circuit, drive circuit and the implementation of the circuit composed of several parts.
目前对空时分组码的性能研究已经比较全面，研究重点开始转移到优化编码结构和降低译码复杂度等方面。
Currently studies on the performance of STBC have been relatively comprehensive, so research focus is shifting to optimize code structure and reduce the decoding complexity.
目前对空时分组码的性能研究已经比较全面，研究重点开始转移到优化编码结构和降低译码复杂度等方面。
Currently studies on the performance of STBC have been relatively comprehensive, so research focus is shifting to optimize code structure and reduce the decoding complexity.
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