The LDPC/LDGM codec library is a forward error correction software that uses large blocks for error correction.
The LDPC/LDGM is a powerful forward error correction codec library that leverages large blocks to deliver significantly faster results than traditional Reed-Solomon codecs. Unlike the latter, the LDPC/LDGM codec can efficiently operate on source blocks that are several tens or hundreds of megabytes in size, making it an ideal choice for applications like Asynchronous Layered Coding (ALC) and reliable multicast protocol.
The library is based on the pioneering theoretical work of Gallager in the early 1960s and is a large block FEC codec derived from the well-known Low-Density Parity Check (LDPC) codes. This makes it an efficient and reliable way of addressing the efficiency challenges that traditional small block FEC codes face.
The latest release comes with several added features including support for any size of symbols, improved performance, new SPARSE_MATRIX_OPT_SMALL_INDEX mode, and code clarification. You can now reduce the memory requirements of sparse matrices, so the matrix size is decreased by 1/6 on 32-bit systems.
The new version has been tested on 64-bit architectures (Pentium D)/Linux and follows the guidelines set in the IETF Internet-Draft: draft-ietf-rmt-bb-fec-ldpc-03.txt. The API is also streamlined with LDPCFecSession::GetMaxN() method being added, which is useful in SPARSE_MATRIX_OPT_SMALL_INDEX mode.
Overall, the LDPC/LDGM codec library is an excellent choice for anyone looking to optimize their FEC performance and deliver efficient results. Try it today and experience the difference!
The library is based on the pioneering theoretical work of Gallager in the early 1960s and is a large block FEC codec derived from the well-known Low-Density Parity Check (LDPC) codes. This makes it an efficient and reliable way of addressing the efficiency challenges that traditional small block FEC codes face.
The latest release comes with several added features including support for any size of symbols, improved performance, new SPARSE_MATRIX_OPT_SMALL_INDEX mode, and code clarification. You can now reduce the memory requirements of sparse matrices, so the matrix size is decreased by 1/6 on 32-bit systems.
The new version has been tested on 64-bit architectures (Pentium D)/Linux and follows the guidelines set in the IETF Internet-Draft: draft-ietf-rmt-bb-fec-ldpc-03.txt. The API is also streamlined with LDPCFecSession::GetMaxN() method being added, which is useful in SPARSE_MATRIX_OPT_SMALL_INDEX mode.
Overall, the LDPC/LDGM codec library is an excellent choice for anyone looking to optimize their FEC performance and deliver efficient results. Try it today and experience the difference!
What's New
Version 2.1: N/A