What is he best known for?
The fields of study he is best known for:
- Algorithm
- Microprocessor
- Artificial intelligence
His primary areas of investigation include Decoding methods, Parallel computing, Embedded system, Algorithm and Binary code.
His study looks at the relationship between Decoding methods and fields such as Encoding, as well as how they intersect with chemical problems.
The concepts of his Parallel computing study are interwoven with issues in Communication channel and Embedded software.
His studies in Embedded system integrate themes in fields like Dram, Computer hardware, Application-specific instruction-set processor, Overhead and Reduced instruction set computing.
His Algorithm research is multidisciplinary, incorporating elements of Digital filter, Theoretical computer science, Existential quantification and Arithmetic.
His Binary code study combines topics from a wide range of disciplines, such as Context-adaptive variable-length coding, Context-adaptive binary arithmetic coding and Sequential decoding.
His most cited work include:
- Digital filter synthesis based on minimal signed digit representation (107 citations)
- FIR filter synthesis algorithms for minimizing the delay and the number of adders (88 citations)
- Digital filter synthesis based on an algorithm to generate all minimal signed digit representations (83 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Decoding methods, Algorithm, Parallel computing, Computer hardware and Embedded system.
Decoding methods is closely attributed to Electronic engineering in his work.
As part of the same scientific family, In-Cheol Park usually focuses on Algorithm, concentrating on Digital filter and intersecting with Finite impulse response.
His research combines Low-density parity-check code and Parallel computing.
In-Cheol Park has included themes like CMOS and Chip in his Computer hardware study.
In-Cheol Park combines subjects such as Digital signal processing, Functional verification and Reduced instruction set computing with his study of Embedded system.
He most often published in these fields:
- Decoding methods (25.48%)
- Algorithm (22.61%)
- Parallel computing (21.66%)
What were the highlights of his more recent work (between 2015-2021)?
- Computer hardware (17.83%)
- Decoding methods (25.48%)
- Algorithm (22.61%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Computer hardware, Decoding methods, Algorithm, Parallel computing and Efficient energy use.
His work deals with themes such as Multiuser detection, Detector, Latency and CMOS, which intersect with Computer hardware.
Decoding methods is often connected to NAND gate in his work.
His Computation, Polar code and Code word study in the realm of Algorithm interacts with subjects such as Value and Noise floor.
His Parallel computing study often links to related topics such as Sorting.
His research investigates the connection between Efficient energy use and topics such as Convolution that intersect with issues in Memory management and Artificial neural network.
Between 2015 and 2021, his most popular works were:
- DSIP: A Scalable Inference Accelerator for Convolutional Neural Networks (28 citations)
- Efficient Sorting Architecture for Successive-Cancellation-List Decoding of Polar Codes (24 citations)
- Energy-Efficient Floating-Point MFCC Extraction Architecture for Speech Recognition Systems (19 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Microprocessor
- Telecommunications
His scientific interests lie mostly in Decoding methods, Parallel computing, Algorithm, List decoding and Sequential decoding.
His Parallel computing research includes themes of Convolution, System on a chip, Efficient energy use and Memory management.
His work investigates the relationship between Convolution and topics such as Convolutional neural network that intersect with problems in Theoretical computer science.
His research integrates issues of Early stopping and Mathematical optimization in his study of Algorithm.
His List decoding research is multidisciplinary, relying on both Low-density parity-check code, Sorting, Sorting algorithm, External sorting and Comparison sort.
He has researched Computation in several fields, including Jacobi method, BCH code, Chien search and Telecommunications link.
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