C. Chakrabarti

Publications
Influence

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

K. Andra, C. Chakrabarti, T. Acharya
Computer Science
IEEE Trans. Signal Process.
1 April 2002

We propose an architecture that performs the forward and inverse discrete wavelet transform (DWT) using a lifting-based scheme for the set of seven filters proposed in JPEG2000. Expand

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

Ye Li, B. Bakkaloglu, C. Chakrabarti
Engineering, Computer Science
IEEE Transactions on Very Large Scale Integration…
2007

A system level energy model for the RF front-end of a wireless transceiver is developed and the effects of signal bandwidth, PAR, symbol rate, modulation level (bits/symbol), transmission distance, and the signal center frequency on the RF energy consumption and communication quality is considered. Expand

SODA: A Low-power Architecture For Software Radio

Yuan Lin, Hyunseok Lee, +5 authors K. Flautner
Computer Science
33rd International Symposium on Computer…
1 May 2006

The physical layer of most wireless protocols is traditionally implemented in custom hardware to satisfy the heavy computational requirements while keeping power consumption to a minimum. Expand

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

C. Chakrabarti, M. Vishwanath
Computer Science
IEEE Trans. Signal Process.
1 March 1995

This paper presents a wide range of algorithms and architectures for computing the 1D and 2D discrete wavelet transform (DWT) and the CWT that require significantly small storage. Expand

System-level energy-efficient dynamic task scheduling

J. Zhuo, C. Chakrabarti
Computer Science
Proceedings. 42nd Design Automation Conference, .
13 June 2005

In this paper, we present dynamic task scheduling algorithms for periodic tasks that minimize the system-level energy (CPU energy + device standby energy). Expand

A Distributed Canny Edge Detector: Algorithm and FPGA Implementation

Q. Xu, S. Varadarajan, C. Chakrabarti, Lina Karam
Computer Science, Medicine
IEEE Transactions on Image Processing
18 March 2014

In this paper, we present a distributed Canny edge detection algorithm that adaptively computes the edge detection thresholds based on the block type and the local distribution of the gradients in the image block. Expand

AnySP: Anytime Anywhere Anyway Signal Processing

M. Woh, Sangwon Seo, S. Mahlke, T. Mudge, C. Chakrabarti, K. Flautner
Computer Science
IEEE Micro
2010

AnySP, a fully programmable architecture that targets multiple application domains, addresses these challenges for next-generation mobile signal processing. Expand

Architectures for wavelet transforms: A survey

C. Chakrabarti, M. Vishwanath, R. Owens
Computer Science
J. VLSI Signal Process.
1 November 1996

This paper surveys the VLSI architectures that have been proposed for computing the Discrete and Continuous Wavelet Transforms for 1-D and 2-D signals. Expand

Energy-efficient dynamic task scheduling algorithms for DVS systems

J. Zhuo, C. Chakrabarti
Computer Science
TECS
1 February 2008

Dynamic voltage scaling (DVS) is a well-known low-power design technique that reduces the processor energy by slowing down the DVS processor and stretching the task execution time. Expand

AnySP: Anytime Anywhere Anyway Signal Processing

M. Woh, Sangwon Seo, S. Mahlke, T. Mudge, C. Chakrabarti, K. Flautner
Computer Science
IEEE Micro
15 June 2009

AnySP, a fully programmable architecture that targets multiple application domains, addresses these challenges for next-generation mobile signal processing. Expand

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