What is he best known for?
The fields of study he is best known for:
- Telecommunications
- Algorithm
- Computer network
S. Benedetto focuses on Algorithm, Convolutional code, Concatenated error correction code, Decoding methods and Turbo code.
His Algorithm research incorporates elements of Optical link, Bit error rate and Nonlinear optics.
His work deals with themes such as Pulse-width modulation, Additive white Gaussian noise and Electronic engineering, Narrowband, which intersect with Convolutional code.
His study in Decoding methods is interdisciplinary in nature, drawing from both Theoretical computer science and Phase-shift keying.
His Turbo code study incorporates themes from Serial concatenated convolutional codes and Block code, Error floor.
His BCJR algorithm study integrates concerns from other disciplines, such as Turbo equalizer, Forward error correction and Raptor code.
His most cited work include:
- A soft-input soft-output APP module for iterative decoding of concatenated codes (557 citations)
- Parallel concatenated trellis coded modulation (217 citations)
- Performance evaluation of TH-PPM UWB systems in the presence of multiuser interference (185 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Turbo code, Algorithm, Convolutional code, Concatenated error correction code and Serial concatenated convolutional codes.
His Turbo code research includes themes of Turbo equalizer, Block code, Error floor, Iterative method and Electronic engineering.
S. Benedetto has included themes like Phase-shift keying, Theoretical computer science and Bit error rate in his Algorithm study.
The Convolutional code study combines topics in areas such as Trellis modulation, Trellis, Sequential decoding and Space–time trellis code.
His studies in Concatenated error correction code integrate themes in fields like Code word, Hamming code and Quadrature amplitude modulation.
S. Benedetto interconnects Low-density parity-check code and Puncturing in the investigation of issues within Serial concatenated convolutional codes.
He most often published in these fields:
- Turbo code (45.97%)
- Algorithm (45.16%)
- Convolutional code (42.74%)
What were the highlights of his more recent work (between 2004-2020)?
- Turbo code (45.97%)
- Electronic engineering (22.58%)
- Decoding methods (33.06%)
In recent papers he was focusing on the following fields of study:
S. Benedetto mostly deals with Turbo code, Electronic engineering, Decoding methods, Low-density parity-check code and Algorithm.
The various areas that S. Benedetto examines in his Turbo code study include Turbo equalizer, Serial concatenated convolutional codes, Concatenated error correction code, Theoretical computer science and Convolutional code.
His Convolutional code study combines topics from a wide range of disciplines, such as Continuous phase modulation, Computer hardware and Modulation.
His Decoding methods research is multidisciplinary, incorporating elements of Iterative method, Code and Parity bit.
His Algorithm research focuses on Linear code in particular.
Linear code is a subfield of Block code that S. Benedetto explores.
Between 2004 and 2020, his most popular works were:
- MHOMS: high-speed ACM modem for satellite applications (76 citations)
- A 0.35-/spl mu/m CMOS analog turbo decoder for the 40-bit rate 1/3 UMTS channel code (52 citations)
- Design of variable-rate irregular LDPC codes with low error floor (41 citations)
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