2012 - IEEE Fellow For contributions to low power embedded system design and to very large scale integration architectures for signal processing
Chaitali Chakrabarti spends much of his time researching Parallel computing, Embedded system, Electronic engineering, Energy consumption and Efficient energy use. His research in Parallel computing intersects with topics in Discrete wavelet transform, Wavelet transform and Signal processing. In his research, Transform coding is intimately related to JPEG 2000, which falls under the overarching field of Wavelet transform.
His studies deal with areas such as Supercomputer, Software-defined radio, Interleaved memory, Power budget and SIMD as well as Embedded system. The various areas that Chaitali Chakrabarti examines in his Energy consumption study include Scheduling and Mathematical optimization. His study in Efficient energy use is interdisciplinary in nature, drawing from both RF front end, Energy and Code division multiple access.
The scientist’s investigation covers issues in Parallel computing, Algorithm, Electronic engineering, Embedded system and Computer hardware. The concepts of his Parallel computing study are interwoven with issues in Field-programmable gate array, Decoding methods, Very-large-scale integration and Discrete wavelet transform. His Algorithm research includes themes of Filter and Artificial intelligence.
His research in Electronic engineering intersects with topics in Energy consumption, Electronic circuit and Low-power electronics. His Energy consumption study incorporates themes from Energy, Real-time computing and Efficient energy use. In his research on the topic of Embedded system, Signal processing is strongly related with SIMD.
His scientific interests lie mostly in Artificial neural network, Computer hardware, Artificial intelligence, Algorithm and Computation. The Computer hardware study combines topics in areas such as Resistive random-access memory, Reduction, Energy, Node and Error detection and correction. His Energy study which covers Electronic engineering that intersects with Reliability, Efficient energy use, BCH code and Layer.
His Artificial intelligence research is multidisciplinary, relying on both Binary number, Computer vision and Pattern recognition. Electrical engineering is closely connected to Process in his research, which is encompassed under the umbrella topic of Algorithm. Chaitali Chakrabarti has researched Parallel computing in several fields, including Multiplication algorithm and Triangular matrix.
Chaitali Chakrabarti mainly investigates Artificial neural network, Artificial intelligence, Resistive random-access memory, Reduction and Computer hardware. His Artificial neural network research is multidisciplinary, incorporating perspectives in Algorithm, Memory footprint and Cluster analysis. Chaitali Chakrabarti interconnects Dram, Electronic engineering and Overhead in the investigation of issues within Resistive random-access memory.
His Electronic engineering research incorporates elements of Reliability, Access time, Instructions per cycle, Energy and Efficient energy use. His study on Reduction also encompasses disciplines like
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.
A VLSI architecture for lifting-based forward and inverse wavelet transform
K. Andra;C. Chakrabarti;T. Acharya.
IEEE Transactions on Signal Processing (2002)
SODA: A Low-power Architecture For Software Radio
Yuan Lin;Hyunseok Lee;Mark Woh;Yoav Harel.
international symposium on computer architecture (2006)
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)
Memory exploration for low power, embedded systems
Wen-Tsong Shiue;Chaitali Chakrabarti.
design automation conference (1999)
Architectures for wavelet transforms: A survey
Chaitali Chakrabarti;Mohan Vishwanath;Robert M. Owens.
signal processing systems (1996)
A high-performance JPEG2000 architecture
K. Andra;C. Chakrabarti;T. Acharya.
IEEE Transactions on Circuits and Systems for Video Technology (2003)
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)
A Survey on Lifting-based Discrete Wavelet Transform Architectures
Tinku Acharya;Chaitali Chakrabarti.
signal processing systems (2006)
A Distributed Canny Edge Detector: Algorithm and FPGA Implementation
Qian Xu;Srenivas Varadarajan;Chaitali Chakrabarti;Lina J. Karam.
IEEE Transactions on Image Processing (2014)
SODA: A High-Performance DSP Architecture for Software-Defined Radio
Y. Lin;H. Lee;M. Woh;Y. Harel.
IEEE Micro (2007)
Profile was last updated on December 6th, 2021.
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