Abstract-This paper investigates the connection between the classical Sum-Product (SP) decoder for Low Density Parity Check (LDPC) codes and the recently proposed Gradient Projection (GP) decoding scheme presented in [1]. A graphical model for GP is exhibited based on which we derive an intermediate algorithm which establishes a bridge between graphical based algorithms (SP and variants) and an optimization based algorithm (GP). A more practical decoding algorithm with improved performance and reduced complexity is also proposed. A complexity analysis is provided and performance are studied through Monte-Carlo simulations
MasterLow-density parity-check (LDPC) codes achieve the performance near to the Shannon limit by ite...
The introduction of the turbo-codes in the early 90’s and, more generally of the iterative principle...
Abstract—One of the most significant impediments to the use of LDPC codes in many communication and ...
This letter presents a more accurate mathematical analysis, with respect to the one performed in Chu...
When we browse via WiFi on our laptop or mobile phone, we receive data over a noisy channel. The rec...
We investigate into the limitations of the sum-product algorithm for binary low density parity check...
The article introduces a new LDPC decoding algorithm based on Equivalent Parity Check Matrix. Simula...
Linear programming decoding for low-density parity check codes (and related domains such as compress...
Genetic algorithms are powerful search techniques that are used successfully to solve problems in ma...
Linear programming (LP) decoding for low-density parity-check codes (and related domains such as com...
Abstract: Low density parity checking codes (LDPC) are one of the most important issues in coding th...
Logarithmic representation of the variables processed by iterative decoding algorithms of Low-Densit...
grantor: University of TorontoReduced complexity decoding algorithms for Low Density Pari...
Low-density parity-check (LDPC) codes have been the focus of much research over the past decade than...
Low-density parity-check (LDPC) codes are linear error correcting codes which are capable of perform...
MasterLow-density parity-check (LDPC) codes achieve the performance near to the Shannon limit by ite...
The introduction of the turbo-codes in the early 90’s and, more generally of the iterative principle...
Abstract—One of the most significant impediments to the use of LDPC codes in many communication and ...
This letter presents a more accurate mathematical analysis, with respect to the one performed in Chu...
When we browse via WiFi on our laptop or mobile phone, we receive data over a noisy channel. The rec...
We investigate into the limitations of the sum-product algorithm for binary low density parity check...
The article introduces a new LDPC decoding algorithm based on Equivalent Parity Check Matrix. Simula...
Linear programming decoding for low-density parity check codes (and related domains such as compress...
Genetic algorithms are powerful search techniques that are used successfully to solve problems in ma...
Linear programming (LP) decoding for low-density parity-check codes (and related domains such as com...
Abstract: Low density parity checking codes (LDPC) are one of the most important issues in coding th...
Logarithmic representation of the variables processed by iterative decoding algorithms of Low-Densit...
grantor: University of TorontoReduced complexity decoding algorithms for Low Density Pari...
Low-density parity-check (LDPC) codes have been the focus of much research over the past decade than...
Low-density parity-check (LDPC) codes are linear error correcting codes which are capable of perform...
MasterLow-density parity-check (LDPC) codes achieve the performance near to the Shannon limit by ite...
The introduction of the turbo-codes in the early 90’s and, more generally of the iterative principle...
Abstract—One of the most significant impediments to the use of LDPC codes in many communication and ...