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Chaitali Chakrabarti

Chaitali Chakrabarti

Arizona State University
United States

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Electronics and Electrical Engineering D-index 48 Citations 7,877 293 World Ranking 1923 National Ranking 826

Computer Science D-index 48 Citations 7,827 303 World Ranking 4066 National Ranking 2061

Research.com Recognitions

Awards & Achievements

2012 - IEEE Fellow For contributions to low power embedded system design and to very large scale integration architectures for signal processing

Overview

What is he best known for?

The fields of study Chaitali Chakrabarti is best known for:

Binary number
Discrete cosine transform
Fourier transform

His Quantum mechanics study frequently links to other fields, such as Energy (signal processing) and Quality (philosophy). His Quality (philosophy) study frequently links to related topics such as Quantum mechanics. His Algorithm study frequently involves adjacent topics like Error detection and correction. His Algorithm research extends to the thematically linked field of Error detection and correction. He integrates many fields, such as Parallel computing and Computation, in his works. His multidisciplinary approach integrates Computation and Parallel computing in his work. His research on Artificial intelligence often connects related areas such as Class (philosophy). His Class (philosophy) study frequently links to other fields, such as Artificial intelligence. His VHDL research extends to the thematically linked field of Embedded system.

His most cited work include:

A VLSI architecture for lifting-based forward and inverse wavelet transform (318 citations)
Efficient realizations of the discrete and continuous wavelet transforms: from single chip implementations to mappings on SIMD array computers (211 citations)
A System Level Energy Model and Energy-Quality Evaluation for Integrated Transceiver Front-Ends (139 citations)

What are the main themes of his work throughout his whole career to date

His study on Algorithm is interrelated to topics such as Computation and Decoding methods. Chaitali Chakrabarti connects Computation with Parallel computing in his research. His work blends Parallel computing and Very-large-scale integration studies together. You can notice a mix of various disciplines of study, such as Very-large-scale integration and Computer architecture, in his Embedded system studies. He integrates several fields in his works, including Computer architecture and Embedded system. His study on Telecommunications is mostly dedicated to connecting different topics, such as Latency (audio) and Decoding methods. His Telecommunications research extends to the thematically linked field of Latency (audio). His research on Artificial intelligence frequently links to adjacent areas such as Image (mathematics). His work on Image (mathematics) is being expanded to include thematically relevant topics such as Artificial intelligence.

Chaitali Chakrabarti most often published in these fields:

Algorithm (60.00%)
Parallel computing (42.50%)
Embedded system (32.50%)

What were the highlights of his more recent work (between 2009-2013)?

Algorithm (75.00%)
Telecommunications (50.00%)
Computer architecture (50.00%)

In recent works Chaitali Chakrabarti was focusing on the following fields of study:

Chaitali Chakrabarti links relevant scientific disciplines such as Computation and SIGNAL (programming language) in the realm of Programming language. He performs integrative study on Computation and Programming language. Chaitali Chakrabarti undertakes multidisciplinary studies into SIGNAL (programming language) and Digital signal processing in his work. He combines Digital signal processing and Signal processing in his research. He conducts interdisciplinary study in the fields of Algorithm and Parallel computing through his works. He combines Parallel computing and Algorithm in his research. His studies link Latency (audio) with Telecommunications. He frequently studies issues relating to Telecommunications and Latency (audio). His work often combines Computer architecture and Embedded system studies.

Between 2009 and 2013, his most popular works were:

Product Code Schemes for Error Correction in MLC NAND Flash Memories (68 citations)
AnySP: Anytime Anywhere Anyway Signal Processing (52 citations)
Efficient Bayesian Tracking of Multiple Sources of Neural Activity: Algorithms and Real-Time FPGA Implementation (25 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A VLSI architecture for lifting-based forward and inverse wavelet transform

K. Andra;C. Chakrabarti;T. Acharya.
IEEE Transactions on Signal Processing (2002)

512 Citations

SODA: A Low-power Architecture For Software Radio

Yuan Lin;Hyunseok Lee;Mark Woh;Yoav Harel.
international symposium on computer architecture (2006)

326 Citations

Efficient realizations of the discrete and continuous wavelet transforms: from single chip implementations to mappings on SIMD array computers

C. Chakrabarti;M. Vishwanath.
IEEE Transactions on Signal Processing (1995)

304 Citations

Memory exploration for low power, embedded systems

Wen-Tsong Shiue;Chaitali Chakrabarti.
design automation conference (1999)

263 Citations

Architectures for wavelet transforms: A survey

Chaitali Chakrabarti;Mohan Vishwanath;Robert M. Owens.
signal processing systems (1996)

234 Citations

A System Level Energy Model and Energy-Quality Evaluation for Integrated Transceiver Front-Ends

Ye Li;B. Bakkaloglu;C. Chakrabarti.
IEEE Transactions on Very Large Scale Integration Systems (2007)

193 Citations

A high-performance JPEG2000 architecture

K. Andra;C. Chakrabarti;T. Acharya.
IEEE Transactions on Circuits and Systems for Video Technology (2003)

193 Citations

A Survey on Lifting-based Discrete Wavelet Transform Architectures

Tinku Acharya;Chaitali Chakrabarti.
signal processing systems (2006)

178 Citations

A Distributed Canny Edge Detector: Algorithm and FPGA Implementation

Qian Xu;Srenivas Varadarajan;Chaitali Chakrabarti;Lina J. Karam.
IEEE Transactions on Image Processing (2014)

177 Citations

SODA: A High-Performance DSP Architecture for Software-Defined Radio

Y. Lin;H. Lee;M. Woh;Y. Harel.
IEEE Micro (2007)

132 Citations

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