Now showing items 203-222 of 2237

    • Balancing Fairness and Efficiency in Tiered Storage Systems using Bottleneck-Aware Allocation 

      Varman, Peter J.; Wang, Hui (2014-02)
      Multi-tiered storage made up of heterogeneous devices are raising new challenges in allocating throughput fairly among concurrent clients. The fundamental problem is finding an appropriate balance between fairness to the ...
    • A Bandwidth-Efficient Architecture for Media Processing 

      Rixner, Scott; Dally, William J.; Kapasi, Ujval J.; Khailany, Brucek; Lopez-Lagunas, Abelardo; Mattson, Peter; Owens, John D. (1998-11-20)
      Media applications are characterized by large amounts of available parallelism, little data reuse, and a high computation to memory access ratio. While these characteristics are poorly matched to conventional microprocessor ...
    • Baseband Architecture Design for Future Wireless Base-Station Receivers 

      Rajagopal, Sridhar (2000-05-20)
      This thesis demonstrates designing efficient algorithms and architectures to meet the real-time requirements of future wireless base-station receivers. Next generation receivers require orders-of-magnitude performance ...
    • Baseband architecture design for future wireless base-station receivers 

      Rajagopal, Sridhar (2000)
      This thesis demonstrates the use of designing efficient algorithms and architectures to meet the real-time requirements of future wireless base-station receivers. Next generation receivers will require orders-of-magnitude ...
    • Baseband Signal Compression in Wireless Base Stations 

      Vosoughi, Aida; Wu, Michael; Cavallaro, Joseph R. (2012-12-01)
      To comply with the evolving wireless standards, base stations must provide greater data rates over the serial data link between base station processor and RF unit. This link is especially important in distributed antenna ...
    • Basics of information processing 

      Johnson, Don (2002-01-20)
      Basic probability theory, statistical signal processing and information theory, and inter-relationships among these disciplines form the foundations of a theory of information processing. Examples are drawn from point-process ...
    • Bayesian Blind PARAFAC Recievers forDS-CDMA Systems 

      de Baynast, Alexandre; Declercq, David; De Lathauwer, Lieven; Aazhang, Behnaam (2003-10-01)
      In this paper an original Bayesian approach for blind detec-tion for Code Division Multiple Access (CDMA) Systems in presence of spatial diversity at the receiver is developed. In the noiseless context, the blind ...
    • A Bayesian hierarchical model for maximizing the vascular adhesion of nanoparticles 

      Fronczyk, Kassandra; Guindani, Michele; Vannucci, Marina; Palange, Annalisa; Decuzzi, Paolo (2014)
      The complex vascular dynamics and wall deposition of systemically injected nanoparticles is regulated by their geometrical properties (size, shape) and biophysical parameters (ligand–receptor bond type and surface density, ...
    • Bayesian Inference of Reticulate Phylogenies under the Multispecies Network Coalescent 

      Wen, Dingqiao; Yu, Yun; Nakhleh, Luay (2016)
      The multispecies coalescent (MSC) is a statistical framework that models how gene genealogies grow within the branches of a species tree. The field of computational phylogenetics has witnessed an explosion in the development ...
    • A Bayesian Integrative Model for Genetical Genomics with Spatially Informed Variable Selection 

      Cassese, Alberto; Guindani, Michele; Vannucci, Marina (2014)
      We consider a Bayesian hierarchical model for the integration of gene expression levels with comparative genomic hybridization (CGH) array measurements collected on the same subjects. The approach defines a measurement ...
    • Bayesian Methods for Learning Analytics 

      Waters, Andrew (2014-06-30)
      Learning Analytics (LA) is a broad umbrella term used to describe statistical models and algorithms for understanding the relationship be- tween a set of learners and a set of questions. The end goal of LA is to understand ...
    • Bayesian Model of Protein Primary Sequence for Secondary Structure Prediction 

      Li, Qiwei; Dahl, David B.; Vannucci, Marina; Joo, Hyun; Tsai, Jerry W. (2014)
      Determining the primary structure (i.e., amino acid sequence) of a protein has become cheaper, faster, and more accurate. Higher order protein structure provides insight into a protein's function in the cell. Understanding ...
    • A Bayesian Multiscale Approach to Joint Image Restoration and Edge Detection 

      Wan, Yi; Nowak, Robert David (1999-07-20)
      This paper presents a novel wavelet-based method for simultaneous image restoration and edge detection. The Bayesian framework developed here is general enough to treat a wide class of linear inverse problems involving ...
    • Bayesian Tree-Structured Image Modeling 

      Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G. (2000-04-01)
      Wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint statistics of the wavelet coefficients ...
    • Bayesian Tree-Structured Image Modeling using Wavelet-domain Hidden Markov Models 

      Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G. (1999-07-20)
      Wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint probability density of the wavelet ...
    • Bayesian Tree-Structured Image Modeling using Wavelet-domain Hidden Markov Models 

      Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G. (2001-07-01)
      Wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint probability density of the wavelet ...
    • Bayesian Wavelet Domain Image Modeling using Hidden Markov Trees 

      Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G. (1999-10-01)
      Wavelet-domain hidden Markov models have proven to be useful tools for statiscal signal and image processing. The hidden Markov tree (HMT) model captures the key features o teh join statistics of the wavelet coefficients ...
    • Beamformer Design with Feedback Rate Constraints : Criteria and Constructions 

      Mukkavilli, Krishna Kiran; Sabharwal, Ashutosh; Erkip, Elza; Aazhang, Behnaam (2003-07-20)
      In this work, we provide a geometrical framework for the analysis and design of beamformer codebooks with finite number of beamformer vectors. We present a design criterion for good beamfomer codebooks and show the equivalence ...
    • Beamforming in MIMO-OFDM systems: Codebook design for efficient implementation 

      Duarte, Melissa (2007)
      Quantized feedback in multiple antenna systems has potential to increase throughput and/or reduce probability of outage. In this work, we present a method to generate quantization codebooks tailored for efficient implementation ...
    • Beamforming on Mobile Devices: A First Study 

      Yu, Hang (2011)
      In this work, we report the first study of beamforming on mobile devices. We first show that beamforming is already feasible on mobile devices in terms of form factor, power efficiency and device mobility. We then investigate ...