This paper presents two novel hardware random number generators (RNGs) based on latch metastability. We designed the first, the DC-nulling RNG, for extremely low power operation. The second, the FIR-based RNG, uses a predictive whitening filter to…
Papers in Information Theory
Information Theory papers in Electrical and Electronic Engineering, A
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We present and prove the correctness of an efficient algorithm that provides a basis for all solutions of a key equation in order to decode Gabidulin (mathcalG-) codes up to a given radius tau. This algorithm is based on a symbolic equivalent of the…
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In this paper we address the task of accurately reconstructing a distributed signal through the collection of a small number of samples at a data gathering point using compressive sensing (CS) in conjunction with principal component analysis (PCA).…
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It is shown that, in the capture-recapture method, the widely used formulae of Bailey or Chapman-Seber give the most likely value for the size of the population, but systematically underestimate the probability that the population is larger than any…
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OBJECTIVE: To present a descriptive review of abdominal aortic aneurysm (AAA), including a review of risk factors for and case finding in AAA for chiropractors as primary contact health care practitioners. DATA SOURCES: Clinical and scientific…
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Abdominal aortic aneurysms (AAA) have a high prevalence in aged populations and are responsible for a large number of deaths. Despite the widespread nature of the disease, relatively little is known regarding mechanisms for formation and progression…
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The most popular method used in traditional power system state estimation is the Maximum Likelihood Estimation (MLE). It assumes the state of the system is a set of deterministic variables and determines the most likely state via error included…
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Research dealing with the role of basic ability factors in motor learning has been characterized by an ever increasing realization of the high degree of task specificity associated with the acquisition of motor skills. Although various theoretical…
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Microbial species express an astonishing diversity of phenotypic traits, behaviors, and metabolic capacities. However, our molecular understanding of these phenotypes is based almost entirely on studies in a handful of model organisms that together…
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A statistical model for the object and the complete image formation process in the cryo electron microscopy of viruses is presented. Using this model, maximum-likelihood reconstructions of the three-dimensional (3-D) structure of viruses are…
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A bio-inspired robust adaptive random search algorithm (BioRARSA), designed for distributed beamforming for sensor and relay networks, is proposed in this work. It has been shown via a systematic framework that BioRARSA converges in probability and…
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A biological compression model, expert model, is presented which is superior to existing compression algorithms in both compression performance and speed. The model is able to compress whole eukaryotic genomes. Most importantly, the model provides a…
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Because of high dimensionality, machine learning algorithms typically rely on feature selection techniques in order to perform effective classification in microarray gene expression data sets. However, the large number of features compared to the…
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In typical parameter estimation problems, the signal observation is a function of the parameter set to be estimated as well as some background (environmental/system) parameters assumed known. The assumed background could differ from the true one,…
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Albanese et al. (see ibid. vol.42, p.1737-44, 1996) introduced priority encoding transmission (PET) for sending hierarchically organized messages over lossy packet-based computer networks. In a PET system, each symbol in the message is assigned a…
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Brain-computer interfaces (BCIs) enable users to control devices with electroencephalographic (EEG) activity from the scalp or with single-neuron activity from within the brain. Both methods have disadvantages: EEG has limited resolution and…
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This book chapter provides a brief history of information privacy law in the United States from colonial times to the present. It discusses the development of the common law torts, Fourth Amendment law, the constitutional right to information…
Papers in associated sub-disciplines
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