What is he best known for?
The fields of study Guido Montorsi is best known for:
- Forward error correction
- Low-density parity-check code
- Turbo code
Guido Montorsi is involved in relevant fields of research such as Encoder, Parity bit and Interleaving in the field of Operating system.
In his articles, he combines various disciplines, including Encoder and Algorithm.
His Algorithm study frequently links to adjacent areas such as Parity bit.
His research links Operating system with Interleaving.
In his study, he carries out multidisciplinary Turbo code and Forward error correction research.
While working on this project, Guido Montorsi studies both Forward error correction and Decoding methods.
His research brings together the fields of Turbo equalizer and Decoding methods.
As part of his studies on Turbo equalizer, he often connects relevant areas like Telecommunications.
His research ties Serial concatenated convolutional codes and Telecommunications together.
His most cited work include:
- Serial concatenation of interleaved codes: performance analysis, design, and iterative decoding (1194 citations)
- Unveiling turbo codes: some results on parallel concatenated coding schemes (1110 citations)
- A soft-input soft-output APP module for iterative decoding of concatenated codes (533 citations)
What are the main themes of his work throughout his whole career to date
In his study, Guido Montorsi carries out multidisciplinary Algorithm and Artificial intelligence research.
In his works, he performs multidisciplinary study on Artificial intelligence and Algorithm.
His Decoding methods study frequently draws parallels with other fields, such as Bit error rate.
Guido Montorsi conducts interdisciplinary study in the fields of Bit error rate and Block code through his research.
Guido Montorsi integrates many fields in his works, including Block code and Code rate.
Guido Montorsi conducts interdisciplinary study in the fields of Code rate and Concatenated error correction code through his research.
In his study, he carries out multidisciplinary Turbo code and Turbo equalizer research.
Guido Montorsi performs multidisciplinary study on Turbo equalizer and Serial concatenated convolutional codes in his works.
His work blends Theoretical computer science and Programming language studies together.
Guido Montorsi most often published in these fields:
- Algorithm (100.00%)
- Decoding methods (96.88%)
- Block code (81.25%)
What were the highlights of his more recent work (between 2008-2012)?
- Algorithm (100.00%)
- Decoding methods (100.00%)
- Block code (66.67%)
In recent works Guido Montorsi was focusing on the following fields of study:
His Artificial intelligence study frequently draws connections between adjacent fields such as Class (philosophy) and Encoding (memory).
Guido Montorsi regularly links together related areas like Artificial intelligence in his Class (philosophy) studies.
He links adjacent fields of study such as Construct (python library) and Message passing in the subject of Programming language.
Construct (python library) is closely attributed to Programming language in his study.
In his articles, Guido Montorsi combines various disciplines, including Algorithm and Iterative method.
In his works, he undertakes multidisciplinary study on Iterative method and Algorithm.
He integrates several fields in his works, including Decoding methods and Concatenated error correction code.
Concatenated error correction code and Telecommunications are frequently intertwined in his study.
He integrates Telecommunications and Convolutional code in his research.
Between 2008 and 2012, his most popular works were:
- Capacity-Achieving CPM Schemes (34 citations)
- Design and performance analysis of a new class of rate compatible serially concatenated convolutional codes (26 citations)
- Analog Digital Belief Propagation (8 citations)
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