Description: 现在广义的Turbo码是指采用级联或乘积编码方法并利用迭代译码方法的编译码方案。迭代译码的基本思想是将一个的复杂的长的译码步骤分解为多个相对简单的迭代译码步骤而且在迭代译码步骤之间信息概率的转移或者是软信息的传递确保几乎没有信息损失。
根据其成员码和级联的方法的不同，Turbo码的分类 .本设计论文提供了Turbo码matlab代码以及界面设计（版权所有，仅供参考！）
-now generalized Turbo code refers to the use of the product or cascade method of coding and decoding using iterative methods compiler program code. Iterative decoding the basic idea is a long and complex decoding steps split into a number of relatively simple steps iterative decoding and the iterative decoding steps probability of information between the transfer or soft ensure that the transfer of information almost no information loss. According to its members code and the cascade of different, Turbo code classifications. This paper provides a design Turbo Codes Matlab code and interface design (version All right, for reference purposes only!) Platform: |
Size: 463982 |
Author:唐盛 |
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Description: 现在广义的Turbo码是指采用级联或乘积编码方法并利用迭代译码方法的编译码方案。迭代译码的基本思想是将一个的复杂的长的译码步骤分解为多个相对简单的迭代译码步骤而且在迭代译码步骤之间信息概率的转移或者是软信息的传递确保几乎没有信息损失。
根据其成员码和级联的方法的不同，Turbo码的分类 .本设计论文提供了Turbo码matlab代码以及界面设计（版权所有，仅供参考！）
-now generalized Turbo code refers to the use of the product or cascade method of coding and decoding using iterative methods compiler program code. Iterative decoding the basic idea is a long and complex decoding steps split into a number of relatively simple steps iterative decoding and the iterative decoding steps probability of information between the transfer or soft ensure that the transfer of information almost no information loss. According to its members code and the cascade of different, Turbo code classifications. This paper provides a design Turbo Codes Matlab code and interface design (version All right, for reference purposes only!) Platform: |
Size: 463872 |
Author:唐盛 |
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Description: This book includes BCH codes, Reed–Solomon codes, convolutional codes, finite-geometry
codes, turbo codes, low-density parity-check (LDPC) codes, and product codes.
However, the title has a second interpretation. While the majority of this book is
on LDPC codes, these can rightly be considered to be both classical (having been
first discovered in 1961) and modern (having been rediscovered circa 1996) Platform: |
Size: 4827136 |
Author:mohamed |
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Description: Abstract—In this letter, we propose an efficient decoding algorithm
for turbo product codes as introduced by Pyndiah. The proposed
decoder has no performance degradation and reduces the
complexity of the original decoder by an order of magnitude. We
concentrate on extended Bose–Chaudhuri–Hocquengem codes as
the constituent row and column codes because of their already low
implementation complexity. For these component codes, we observe
that the weight and reliability factors can be fixed, and that
there is no need for normalization. Furthermore, as opposed to
previous efficient decoders, the newly proposed decoder naturally
scales with a test-pattern parameter that can change as a function
of iteration number, i.e., the efficient Chase algorithm presented
here uses conventionally ordered test patterns, and the syndromes,
even parities, and extrinsic metrics are obtained with a minimum
number of operations. Platform: |
Size: 95232 |
Author:cordic |
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Description: A full-parallel architecture for turbo decoding, which achieves ultrahigh
data rates when using product codes as error correcting codes, is
proposed. This architecture is able to decode product codes using
binary BCH or m-ary Reed-Solomon component codes. The major
advantage of our architecture is that it enables the memory blocks
between all half-iterations to be removed. Moreover, the latency of the
turbo decoder is strongly reduced. The proposed architecture opens the
way to numerous applications such as optical transmission and data
storage. In particular, the block turbo decoding architecture can
support optical transmission at data rates above 10 Gbit=s. Platform: |
Size: 110592 |
Author:cordic |
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Description: 文章详细介绍了TPC编码技术及信道容限， 是一篇不错的介绍TPC的文章-An important goal for a new communication system is to transfer information at a high rate while
keeping energy consumption low. Shannon s channel capacity sets a limit on the tradeoff between the rate
of information transfer and the required energy. In this paper the performance of turbo block coding is
compared to Shannon s limit for binary communications over a channel with thermal noise. The turbo
product code is a relatively new code that offers a wide range of flexibility in terms of performance,
complexity, and code rate. The results of this paper will show that in comparison to a standard
convolutional code the turbo product code uses less power and permits a higher data rate for a given
bandwidth requirement. One of the turbo product codes discussed in this paper has a rate approximately
0.8, which is a 60 improvement in data rate over the standard convolutional code. It is also shown that
the performance of the turbo product code is close to Shannon s capacity limit Platform: |
Size: 68608 |
Author:大海 |
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Description: This is a report of a type of Turbo Codes, namely product Turbo Codes. It can be helpful for those who wish to work in this area.
Platform: |
Size: 166912 |
Author:Bhaskar |
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Description: Channel Codes
Channel coding lies at the heart of digital communication and data storage, and
this detailed introduction describes the core theory as well as decoding algorithms,
implementation details, and performance analyses.
Professors Ryan and Lin, known for the clarity of their writing, provide the
latest information on modern channel codes, including turbo and low-density
parity-check (LDPC) codes. They also present detailed coverage of BCH codes,
Reed–Solomon codes, convolutional codes, finite-geometry codes, and product
codes, providing a one-stop resource for both classical and modern coding
techniques. Platform: |
Size: 4816896 |
Author:mustaf dhia |
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Description: 林舒教授2009年最新力作，包括纠错编码中的线性分组码（BCH，RS），卷积码，有限几何码，LDPC码和Turbo码的描述，分析和设计，特别是详细总结了2000年后LDPC码和Turbo码的最新的研究成果，如计算机辅助设计，级联设计，译码门限准则。-Professors Ryan and Lin, known for the clarity of their writing, provide the
latest information on modern channel codes, including turbo and low-density
parity-check (LDPC) codes. They also present detailed coverage of BCH codes,
Reed–Solomon codes, convolutional codes, finite-geometry codes, and product
codes, providing a one-stop resource for both classical and modern coding
techniques.
The opening chapters begin with basic theory to introduce newcomers to the
subject, assuming no prior knowledge in the field of channel coding. Subsequent
chapters cover the encoding and decoding of themost widely used codes and extend
to advanced topics such as code ensemble performance analyses and algebraic code
design. Numerous varied and stimulating end-of-chapter problems, 250 in total,
are also included to test and enhance learning, making this an essential resource
for students and practitioners alike. Platform: |
Size: 4829184 |
Author:Gabriel |
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Description: Turbo product Codes (TPC) MATLAB CODE:his code is provided to help researchers explore the performance of TPCs under different scenarios Platform: |
Size: 3072 |
Author:rfoolti
|
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Search - Turbo Product codes