ABSTRACT — In this article we introduce a new class of product codes based on convolutional codes, convolutional product codes (CPCs). The structure of product codes en-ables parallel decoding which can significantly increase de-coder speed in practice. The use of convolutional codes in a product code setting lays the ground for utilizing all the flexibility and vast knowledge base for convolutional codes in fast parallel decoders. Interleaving turns out to be criti-cal for the performance of convolutional product codes just as in turbo codes. The practical decoding advantages over serially concatenated convolutional codes are emphasized. I
Two soft-input-soft-output iterative decoding algorithms for product code were studied and developed...
Abstract. In this paper we present a new method to decode convolutional codes. The method is based o...
Abstract—The original turbo codes (TCs), presented in 1993 by Berrou et al., consist of the parallel...
In this article, we introduce a new class of product codes based on convolutional codes, called conv...
This chapter provides design, analysis, construction, and performance of the turbo codes, serially c...
This tutorial paper gives an overview of the implementation aspects related to turbo decoders, where...
In this thesis, we present low latency general concatenated code structures suitable for parallel pr...
International audienceThis chapter is a general introduction to the original turbo codes discovered ...
International audienceIn forward error correction, convolutional turbo codes were introduced to incr...
Coding techniques have always been a major area of scientific interest. Due to this interest, many c...
International audienceIn forward error correction, convolutional turbo codes were introduced to incr...
Parallel concatenated coding schemes employing convolutional codes as constituent codes linked by an...
Abstract — Recursive systematic convolutional encoders have been shown to play a crucial role in the...
International audienceThis paper describes the ways to construct turbo codes using a parallel concat...
Abstract- The recently presented geometric inter-pretation of turbo-decoding has founded a framework...
Two soft-input-soft-output iterative decoding algorithms for product code were studied and developed...
Abstract. In this paper we present a new method to decode convolutional codes. The method is based o...
Abstract—The original turbo codes (TCs), presented in 1993 by Berrou et al., consist of the parallel...
In this article, we introduce a new class of product codes based on convolutional codes, called conv...
This chapter provides design, analysis, construction, and performance of the turbo codes, serially c...
This tutorial paper gives an overview of the implementation aspects related to turbo decoders, where...
In this thesis, we present low latency general concatenated code structures suitable for parallel pr...
International audienceThis chapter is a general introduction to the original turbo codes discovered ...
International audienceIn forward error correction, convolutional turbo codes were introduced to incr...
Coding techniques have always been a major area of scientific interest. Due to this interest, many c...
International audienceIn forward error correction, convolutional turbo codes were introduced to incr...
Parallel concatenated coding schemes employing convolutional codes as constituent codes linked by an...
Abstract — Recursive systematic convolutional encoders have been shown to play a crucial role in the...
International audienceThis paper describes the ways to construct turbo codes using a parallel concat...
Abstract- The recently presented geometric inter-pretation of turbo-decoding has founded a framework...
Two soft-input-soft-output iterative decoding algorithms for product code were studied and developed...
Abstract. In this paper we present a new method to decode convolutional codes. The method is based o...
Abstract—The original turbo codes (TCs), presented in 1993 by Berrou et al., consist of the parallel...