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Compressive sensing (CS) is an emerging research area that has great significance to the design of resource-constrained cyber physical systems. Signal reconstruction in CS remains a challenge due to its high computational complexity, which limits the practical application of CS. In this paper, we propose an algorithmic transformation referred to as Matrix(More)
4 Welcome Welcome to the 24th edition of the Great Lakes Symposium on VLSI (GLSVLSI) 2014 held in Houston, Texas. GLSVLSI is a premier venue for the dissemination of manuscripts of the highest quality BLOCKINin BLOCKINall BLOCKINareas BLOCKINrelated BLOCKINto BLOCKINVLSI, BLOCKINdevices BLOCKINand BLOCKINsystem BLOCKINlevel BLOCKINdesign. BLOCKINThe(More)
This paper presents the design of a new underwater energy harvesting system, which would provide persistent and sustainable power supply for remote underwater sensing and surveillance devices. The system consists of a marine sediment microbial fuel cell (MFC) and the associated power management system. The MFC exploits bacterial metabolic activities(More)
A monitoring network that resolves the spatial and temporal variations of the water quality is essential in the sustainable management of water resources and pollution control. Due to cost concerns, it is important to optimize the monitoring locations so to use the least number of stations required to obtain the most comprehensive monitoring. The optimal(More)
Due to the increasing economic and cultural value of bathing waters and the shellfish industry in the UK and worldwide, water quality in estuarine and coastal waters has attracted considerable public attention in recent years. To obtain accurate predictions of the concentration distributions of faecal indicator organisms (FIOs) in coastal waters for better(More)
The water level of Dongting Lake has changed because of the combined impact of climatic change and anthropogenic activities. A study of the long-term statistical properties of water level variations at Chenglingji station will help with the management of water resources in Dongting Lake. In this case, 54 years of water level data for Dongting Lake were(More)
In this paper, we propose a Soft-thresholding Orthogonal Matching Pursuit (ST-OMP) technique for efficient signal reconstruction in compressive sensing applications. The proposed ST-OMP recovers less significant signal elements using a low-complexity procedure without sacrificing much reconstruction quality. We apply the proposed ST-OMP in systems powered(More)
This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may(More)