2012 - IEEE Fellow For contributions to low power embedded system design and to very large scale integration architectures for signal processing
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 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 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.
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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 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 high-performance JPEG2000 architecture
K. Andra;C. Chakrabarti;T. Acharya.
IEEE Transactions on Circuits and Systems for Video Technology (2003)
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)
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