Now showing items 1339-1358 of 2368

    • A Multiscale Data Representation for Distributed Sensor Networks: Proofs of Basis Characteristics and Error Bounds 

      Sarvotham, Shriram; Wagner, Raymond; Baraniuk, Richard G. (2004-09-01)
      Provides proofs of Parseval tight-frame membership and approximation properties for the basis proposed in "A Multiscale Data Representation for Distributed Sensor Networks" by R. Wagner, S. Sarvotham, and R. Baraniuk (ICASSP ...
    • Multiscale Density Estimation 

      Willett, Rebecca; Nowak, Robert David (2003-08-20)
      The nonparametric density estimation method proposed in this paper is computationally fast, capable of detecting density discontinuities and singularities at a very high resolution, spatially adaptive, and offers near ...
    • Multiscale Edge Grammars for Complex Wavelet Transforms 

      Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G. (2001-10-01)
      Wavelet domain algorithms have risen to the forefront of image processing. The power of these algorithms is derived from the fact that the wavelet transform restructures the image in a way that makes statistical modeling ...
    • Multiscale Geometric Image Processing 

      Romberg, Justin; Wakin, Michael; Baraniuk, Richard G. (2003-07-01)
      Since their introduction a little more than 10 years ago, wavelets have revolutionized image processing. Wavelet based algorithms define the state-of-the-art for applications including image coding (JPEG2000), restoration, ...
    • Multiscale geometric image processing 

      Romberg, Justin K. (2004)
      Since their introduction a little more than 10 years ago, wavelets have revolutionized image processing. Wavelet based algorithms define the state-of-the-art for applications including image coding (JPEG-2000), restoration, ...
    • Multiscale Image Processing Using Normal Triangulated Meshes 

      Jansen, Maarten; Choi, Hyeokho; Lavu, Sridhar; Baraniuk, Richard G. (2001-10-01)
      Multiresolution triangulation meshes are widely used in computer graphics for 3-d modelling of shapes. We propose an image representation and processing framework using a multiscale triangulation of the grayscale function. ...
    • Multiscale Image Segmentation Using Joint Texture and Shape Analysis 

      Neelamani, Ramesh; Romberg, Justin; Riedi, Rudolf H.; Choi, Hyeokho; Baraniuk, Richard G. (2000-07-01)
      We develop a general framework to simultaneously exploit texture and shape characterization in multiscale image segmentation. By posing multiscale segmentation as a model selection problem, we invoke the powerful framework ...
    • Multiscale Image Segmentation using Wavelet-domain Hidden Markov Models 

      Choi, Hyeokho; Baraniuk, Richard G. (2001-09-01)
      We introduce a new image texture segmentation algorithm, HMTseg, based on wavelets and the hidden Markov tree (HMT) model. The HMT is a tree-structured probabilistic graph that captures the statistical properties of the ...
    • Multiscale Likelihood Analysis and Complexity Penalized Estimation 

      Kolaczyk, Eric D.; Nowak, Robert David (2004)
      We describe here a framework for a certain class of multiscale likelihood factorization wherein, in analogy to a wavlet decomposition of an L² function, a given likelihood function has an alternative representation as a ...
    • Multiscale Likelihood Analysis and Image Reconstruction 

      Willett, Rebecca; Nowak, Robert David (2003-08-20)
      The nonparametric multiscale polynomial and platelet methods presented here are powerful new tools for signal and image denoising and reconstruction. Unlike traditional wavelet-based multiscale methods, these methods are ...
    • Multiscale Manifold Representation and Modeling 

      Choi, Hyeokho; Baraniuk, Richard G. (2005-03-01)
      Many real world data sets can be viewed as points in a higher-dimensional space that lie concentrated around a lower-dimensional manifold structure. We propose a new multiscale representation for such point clouds based ...
    • Multiscale modeling and estimation of Poisson processes with application to photon-limited imaging 

      Timmerman, Klaus; Nowak, Robert David (1999-04-20)
      Many important problems in engineering and science are well-modeled by Poisson processes. In many applications it is of great interest to accurately estimate the intensities underlying observed Poisson data. In particular, ...
    • Multiscale Nature of Network Traffic 

      Abry, Patrice; Baraniuk, Richard G.; Flandrin, Patrick; Riedi, Rudolf H.; Veitch, Darryl (2002-05-01)
      The complexity and richness of telecommunications traffic is such that one may despair to find any regularity or explanatory principles. Nonetheless, the discovery of scaling behavior in tele-traffic has provided hope that ...
    • Multiscale Queuing Analysis 

      Ribeiro, Vinay Joseph; Riedi, Rudolf H.; Baraniuk, Richard G. (2004-09-01)
      We develop a new approach to queuing analysis for an infinite-length queue with constant service rate fed by an arbitrary traffic process. Our approach is particularly relevant to queues fed with long-range-dependent (LRD) ...
    • Multiscale Queuing Analysis 

      Ribeiro, Vinay Joseph; Riedi, Rudolf H.; Baraniuk, Richard G. (2006-10-01)
      This paper introduces a new multiscale framework for estimating the tail probability of a queue fed by an arbitrary traffic process. Using traffic statistics at a small number of time scales, our analysis extends the ...
    • Multiscale Queuing Analysis of Long-Range-Dependent Network Traffic 

      Ribeiro, Vinay Joseph; Riedi, Rudolf H.; Crouse, Matthew; Baraniuk, Richard G. (2000-03-01)
      Many studies have indicated the importance of capturing scaling properties when modeling traffic loads; however, the influence of long-range dependence (LRD) and marginal statistics still remains on unsure footing. In this ...
    • Multiscale Queuing Analysis of Long-Range-Dependent Network Traffic 

      Ribeiro, Vinay Joseph; Riedi, Rudolf H.; Crouse, Matthew; Baraniuk, Richard G. (2001-02-20)
      This paper develops a novel approach to queuing analysis tailor-made for multiscale long-range-dependent (LRD) traffic models. We review two such traffic models, the wavelet-domain independent Gaussian model (WIG) and the ...
    • Multiscale queuing analysis, sampling theory, and network probing 

      Ribeiro, Vinay (2005)
      Multiscale techniques model and analyze phenomena at multiple scales in space or time. This thesis develops novel multiscale solutions for problems in queuing theory, sampling theory, and network inference. First, we study ...
    • Multiscale random projections for compressive classification 

      Duarte, Marco F.; Davenport, Mark A.; Wakin, Michael B.; Laska, Jason N.; Takhar, Dharmpal; Kelly, Kevin F.; Baraniuk, Richard G. (2007-09-01)
      We propose a framework for exploiting dimension-reducing random projections in detection and classification problems. Our approach is based on the generalized likelihood ratio test; in the case of image classification, ...
    • Multiscale SAR Image Segmentation using Wavelet-domain Hidden Markov Tree Models 

      Venkatachalam, Vidya; Choi, Hyeokho; Baraniuk, Richard G. (2000-04-01)
      We study the segmentation of SAR imagery using wavelet-domain Hidden Markov Tree (HMT) models. The HMT model is a tree-structured probabilistic graph that captures the statistical properties of the wavelet transforms of ...