Results 21 to 30 of about 9,835,908 (287)
Energy and Quality-Aware Multimedia Signal Processing [PDF]
IEEE Transactions on Multimedia, 2013 This paper presents techniques to reduce energy with minimal degradation in system performance for multimedia signal processing algorithms. It first provides a survey of energy-saving techniques such as those based on voltage scaling, reducing number of computations and reducing dynamic range.
Yunus Emre, Chaitali Chakrabarti
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Adaptive digital signal processing Java teaching tool [PDF]
, 2001 This publication presents a JAVA program for teaching the rudiments of adaptive digital signal processing (DSP) algorithms and techniques. Adaptive DSP is on of the most important areas of signal processsing, and provides the core algorithmic means to ...
Harteneck, M., Stewart, R.W.
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A novel hybrid numerical with analytical approach for parameter extraction of photovoltaic modules
Energy Conversion and Management: X, 2022 Building an accurate mathematical model of photovoltaic modules is an essential issue for providing reasonable analysis, control and optimization of photovoltaic energy systems.
Dris Ben hmamou +9 more
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Entropy: From Thermodynamics to Information Processing
Entropy, 2021 Entropy is a concept that emerged in the 19th century. It used to be associated with heat harnessed by a thermal machine to perform work during the Industrial Revolution.
Jordão Natal +4 more
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Shannon’s Energy Based Algorithm in ECG Signal Processing [PDF]
Computational and Mathematical Methods in Medicine, 2017 Physikalisch-Technische Bundesanstalt (PTB) database is electrocardiograms (ECGs) set from healthy volunteers and patients with different heart diseases. PTB is provided for research and teaching purposes by National Metrology Institute of Germany. The analysis method of complex QRS in ECG signals for diagnosis of heart disease is extremely important ...
Hamed Beyramienanlou, Nasser Lotfivand
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Probabilistic arithmetic and energy efficient embedded signal processing [PDF]
Proceedings of the 2006 international conference on Compilers, architecture and synthesis for embedded systems, 2006 Probabilistic arithmetic, where the ith output bit of addition and multiplication is correct with a probability pi , is shown to be a vehicle for realizing extremely energy-efficient, embedded computing. Specifically, probabilistic adders and multipliers, realized using elements such as gates that are in turn probabilistic, are shown to form a natural ...
Jason George +3 more
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Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing [PDF]
IEEE Transactions on Circuits and Systems II: Express Briefs, 2021 The emerging brain-inspired computing paradigm known as hyperdimensional computing (HDC) has been proven to provide a lightweight learning framework for various cognitive tasks compared to the widely used deep learning-based approaches. Spatio-temporal (ST) signal processing, which encompasses biosignals such as electromyography (EMG) and ...
Geethan Karunaratne +6 more
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An Energy Scalable Functional Unit for Sensor Signal Processing [PDF]
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007 Low power signal processing functionality is required for wireless sensor network nodes due to their limited battery life. Previously, we have proposed a reconfigurable array of DSP acceleration functional units for such a sensor node. The array maximizes operating life by matching system power consumption to available energy through power scalable ...
Liping Guo +2 more
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Modelling and studying the effect of graph errors in graph signal processing
, 2021 Publisher Copyright: © 2021The first step for any graph signal processing (GSP) procedure is to learn the graph signal representation, i.e., to capture the dependence structure of the data into an adjacency matrix.
Miettinen, Jari +2 more
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Energy-efficient on-node signal processing for vibration monitoring [PDF]
2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014 In recent years, the use of wireless sensor networks for vibration monitoring is emphasized, because of its capability to continuously monitor at hard-to-reach locations of complex machines. Low power consumption is one of the main requirements for the sensor nodes in continuous and long-term vibration monitoring.
Vignesh Raja Karuppiah Ramachandran +4 more
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