Asymptotically good codes with high iterative decoding performances
Iryna Andriyanova, Jean–Pierre Tillich, J.-C. Carlach
Abstract
Iryna Andriyanova, Jean–Pierre Tillich, J.-C. Carlach
Abstract
We investigate a new class of codes which is in some senses a hybrid between LDPC codes and turbo-codes. We show that when the parameters of this class are well chosen they have very good iterative decoding performances and at the same time a minimum distance which is typically linear in the code length
OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
We investigate a new class of codes which is in some senses a hybrid between LDPC codes and turbo-codes. We show that when the parameters of this class are well chosen they have very good iterative decoding performances and at the same time a minimum distance which is typically linear in the code length
Key concepts: Turbo code, Low-density parity-check code, Decoding methods, Serial concatenated convolutional codes, Concatenated error correction code, Computer science, Linear code, Code (set theory)