Abhinav Agarwal

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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Abstract—Using the example of a Reed–Solomon decoder, we provide insights(More)
In this paper, we propose the use of compressed sensing (CS) that is preceded by an energy-efficient, cross-product based independent component analysis (ICA) preprocessing method to efficiently compress electroencephalogram (EEG) signals in the context of a wireless body sensor network (WBSN). In WBSNs, the battery life puts a strict energy constraint at(More)
Whether for use as the final target or simply a rapid prototyping platform, programming systems containing FPGAs is challenging. Some of the difficulty is due to the difference between the models used to program hardware and software, but great effort is also required to coordinate the simultaneous execution of the application running on the microprocessor(More)
The emergence of data-intensive problems in areas like computational biology, astronomy, medical imaging, etc. has emphasized the need for fast and efficient very large Fourier Transforms. Recent work has shown that we can compute million-point transforms efficiently provided the data is sparse in the frequency domain. Processing input samples at rates(More)
— Object tracking is fundamental to automated video surveillance, activity analysis and event recognition. In real-time applications only a small percentage of the system resources can be allocated for tracking, the rest being required for high-level tasks such as recognition, trajectory interpretation, and reasoning. There is a desperate need to carefully(More)