Convolutional codes represent a cornerstone in modern communications, offering a method for continuously encoding data streams to mitigate errors due to interference and noise. These codes operate by ...

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...

Abstract: This paper introduces a convolutional syndrome former (CSF) which enables reduced complexity decoding of regularly punctured convolutional codes (CCs) of rate r/(r + 1). The CSF is derived ...

Abstract: In recent years, significant efforts were invested in (de-)coding of convolutional codes and their concatenations by leveraging alternative representations which aim to lower the decoding ...

The Altera® Viterbi Compiler generates high-performance, soft-decision Viterbi MegaCore® functions that implement a wide range of standard Viterbi decoders. Viterbi decoding (also known as maximum ...

Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...

This paper describes an ASIP decoder template suitable for multi-standard Viterbi, Turbo and LDPC decoding. We show architecture fitness for WLAN, WiMAX and 3GPPLTE standards, although various other ...

FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...

Polar codes are a channel coding technology and all channel coding technology works in basically a quite similar way. Communication links are susceptible to errors due to random noise, interference, ...

Telemetry systems — such as satellite downlinks, UAV communication, or remote sensing — rely on error-correcting codes to ensure data reliability over noisy channels. Encoder convenc.v Implements rate ...