Top Downloads in IEEE Xplore [Reader's Choice]
Top Downloads in IEEE Xplore T he " Reader's Choice " column in IEEE Signal Processing Magazine contains a list of articles published by the IEEE Signal Processing Society (SPS) that ranked among the top 100 most downloaded IEEE Xplore articles. This issue is based on download data through August 2013. The table below contains the citation information for each article and the rank obtained in IEEE Xplore. The highest rank obtained by an article in this time frame is indicated in bold. Your suggestions and comments are welcome and should be sent to Associate Editor Michael Gormish (gormish@ieee.org). This paper reviews optimal and suboptimal Bayesian algorithms for nonlinear/non-Gaussian tracking problems, with a focus on particle filters. Variants of the particle filter are introduced within a framework of the sequential importance sampling (SIS) algorithm and compared with the standard EKF. This paper extracts overlapping image patches, orders these patches and applies one dimensional filtering to the reordered set of pixels. These techniques are applied to denoising and inpainting. This article surveys the theory of compressive sampling, also known as compressed sensing or CS, a novel sensing/sampling paradigm that goes against the common wisdom in data acquisition. Existing and new algorithms for assigning anonymous IDs are examined with respect to communication and computational requirements. The new algorithms are built on top of a secure sum data mining operation using Newton's identities and Sturm's theorem. This paper introduces a framework for quality assessment based on the degradation of structural information. Within this framework a structure similarity index is developed and evaluated. MATLAB code available.