sccc

The Performance Analysis of Turbo Codes And Sccc In Awgn Channel

基于AWGN信道的Turbo码与SCCC的性能仿真与分析

A method to improve iterative decoding convergence in SCCC

一种提高SCCC系统迭代检测收敛性的方法

Because of its using iterative decoding , SCCC keeps high codes gain .

串行级联编码由于采用迭代译码，具有较高的信道增益。

Conclusions SCCC is a rare and highly malignant tumor with distinct pathological features .

结论宫颈小细胞癌是一种少见的高度恶性肿瘤，具有独特的病理形态特征。

Objective To study the value of chemotherapy in the comprehensive treatment of small cell carcinoma of cervix ( SCCC ) .

目的探讨化疗在子宫颈小细胞癌（SCCC）综合治疗中的作用。

[ Conclusion ] Immunohistochemical and histopathological procedures were the main procedures to differentiate SCCC from common cervical cancer .

[结论]主要依赖病理组织形态和免疫组化将宫颈小细胞癌从普通宫颈癌中区分开。

Objective To investigate the clinicopathological features , immunohistochemical characteristics of small cell carcinoma of the cervix ( SCCC ) and its behaviour .

目的探讨宫颈小细胞癌（SCCC）的临床病理特征、免疫组化特点和生物学行为。

According to coding structure and puncturing patterns of SCCC , an " balance protection " pseudo random S interleaver was introduced .

根据SCCC的结构和截位（puncture）方法提出了适用于SCCC的均衡保护伪随机S交织器。

SCCC 's growth features in the solution were also studied , A single Crystal 8 × 8 × 5mm ~ 3 was obtained by solution method .

同时还研究了其晶体生长习性，用溶液降温法制备了8×8×5mm~3的单晶。

Turbo codes represent the new code structures , which consist of PCCC ( Parallel Serially Convolutional Code ) and SCCC ( Serially Concatenated Convolutional Code ) .

Turbo码代表了新一代信道编码结构，它包括并行级联卷积码和串行级联卷积码。

Conclusion The histo - pathologic features and biologic characteristic behavior were similar between SCCC and small cell carcinoma of lung . Early metastasis and sensitivity to chemotherapy were found for both of them .

结论子宫颈小细胞癌与肺小细胞癌的组织病理学和生物学行为特征相似，早期易发生盆腔淋巴结和远处转移，对化学治疗比较敏感。

Firstly , the SCCC decoding scheme is described , followed by the derivation of the MAP algorithm based on the trellis gragh . According to it , the general structure of the SISO is presented .

文章首先阐述了SCCC的编译码器结构，推导了基于格图的MAP译码算法，并由此引入一般性的SISO实现构架；

To improve the performance of the short interleaved serial concatenated convolutional code ( SCCC ) with low decoding iterative times , the structure of Log MAP algorithm is introduced into the conventional SOVA decoder to improve its performance at short interleaving delay .

为了提高采用短交织器的串行级联卷积码在低级迭代译码时的性能，将对数最大似然算法的译码结构引入传统的SOVA中以增强其在短交织时延时的性能。

In Chapter 2 , encoder structure , decoder structure and interleaver of parallel concatenated Convolutional code ( PCCC ) and serially concatenated Convolutional code ( SCCC ) are studied . Symbol-wise SISO algorithm and bit-wise SISO algorithm are given .

在第二章中，系统分析了并行级联卷积编码和串行级联卷积编码的编码结构、交织器的类型、译码结构以及基于符号和基于比特的SISO算法。