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Detection, Speech Recognition, Loudness, and Preference Outcomes With a Direct Drive Hearing Aid: Effects of Bandwidth
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In: Communication Sciences and Disorders Publications (2021)
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A Transcendental Phenomenological Inquiry of First-Generation Community College Students’ Experiences
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In: Doctoral Dissertations and Projects (2020)
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The Relation of Personality and Intelligence—What Can the Brunswik Symmetry Principle Tell Us?
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In: Journal of Intelligence ; Volume 6 ; Issue 3 (2018)
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The Relation of Personality and Intelligence—What Can the Brunswik Symmetry Principle Tell Us?
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The relation of personality and intelligence - what can the Brunswik symmetry principle tell us?
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Comprehensive Wide Bandwidth Test Battery of Auditory Function in Veterans
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In: ETSU Faculty Works (2016)
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Bandwidth behavior of miniature cavity antennas
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In: Journées JCGE'2014 - SEEDS ; https://hal.archives-ouvertes.fr/hal-01083919 ; Journées JCGE'2014 - SEEDS, Jun 2014, Saint-Louis, France (2014)
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Making Semantic Information Work Effectively for Degraded Environments
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In: DTIC (2013)
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A Comparison of Gain for Adults from Generic Hearing Aid Prescriptive Methods: Impacts on Predicted Loudness, Frequency Bandwidth, and Speech Intelligibility
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In: ETSU Faculty Works (2011)
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Delay Tolerant Applications for Low Bandwidth and Intermittently Connected Users: the aAQUA Experience
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In: http://www2007.org/posters/poster916.pdf (2007)
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The 2005 AFRL/HEC One-Speaker Detection Systems
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In: DTIC (2006)
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Fair Bandwidth Allocation for Multicasting in Networks with Discrete Feasible Set
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In: Departmental Papers (ESE) (2004)
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Abstract:
We study fairness in allocating bandwidth for loss-tolerant real-time multicast applications. We assume that the traffic is encoded in several layers so that the network can adapt to the available bandwidth and receiver processing capabilities by varying the number of layers delivered. We consider the case where receivers cannot subscribe to fractional layers. Therefore, the network can allocate only a discrete set of bandwidth to a receiver, whereas a continuous set of rates can be allocated when receivers can subscribe to fractional layers. Fairness issues differ vastly in these two different cases. Computation of lexicographic optimal rate allocation becomes NP-hard in this case, while lexicographic optimal rate allocation is polynomial complexity computable when fractional layers can be allocated. Furthermore, maxmin fair rate vector may not exist in this case. We introduce a new notion of fairness, maximal fairness. Even though maximal fairness is a weaker notion of fairness, it has many intuitively appealing fairness properties. For example, it coincides with lexicographic optimality and maxmin fairness, when maxmin fair rate allocation exists. We propose a polynomial complexity algorithm for computation of maximally fair rates allocated to various source-destination pairs, which incidentally computes the maxmin fair rate allocation, when the latter exists.
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Keyword:
discrete bandwidth allocation; Maximal fairness; multicast
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URL: https://repository.upenn.edu/ese_papers/67 https://repository.upenn.edu/cgi/viewcontent.cgi?article=1070&context=ese_papers
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Lexicographically Optimal Balanced Networks
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In: http://www.ieee-infocom.org/2001/paper/33.pdf (2001)
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Innovative Soldier Conformal Antenna Suite
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In: DTIC AND NTIS (2001)
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Wideband extension of narrowband speech for enhancement and coding
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Linear Orderings of Random Geometric Graphs (Extended Abstract)
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In: http://www.lsi.upc.es/dept/techreps/ps/R99-11.ps.gz (1999)
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Linear Orderings of Random Geometric Graphs
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In: http://www.lsi.upc.es/~jpetit/Publications/./pdf/wg99.pdf (1997)
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Accelerator Systems for Neural Networks, Speech, and Related Applications.
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In: DTIC AND NTIS (1995)
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