IEEE Signal Processing Magazine
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
Table of contents
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Table of contents| 2013
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Diversification of signal processing research: a potential for more growth? [From the Editor]Zoubir, A. et al. | 2013
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[Masthead]| 2013
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Sign onto Technical Committees [President's Message]Liu, K.J. Ray et al. | 2013
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New Directions in Audio and Acoustics Research [Special Reports]Edwards, John et al. | 2013
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Machine-to-Machine Connectivity Market Is Booming [Special Reports]Schneiderman, Ron et al. | 2013
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Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors]Muller, Klaus-Robert / Adali, Tulay / Fukumizu, Kenji et al. | 2013
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Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate MethodsArenas-Garcia, J. / Petersen, K. / Camps-Valls, G. et al. | 2013
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Entropy-Relevant Dimensions in the Kernel Feature Space: Cluster-Capturing Dimensionality ReductionJenssen, R. et al. | 2013
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Gaussian Processes for Nonlinear Signal Processing: An Overview of Recent AdvancesPerez-Cruz, F. / Van Vaerenbergh, S. / Murillo-Fuentes, J. Jose et al. | 2013
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Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman FilteringSarkka, S. / Solin, A. / Hartikainen, J. et al. | 2013
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Analyzing Local Structure in Kernel-Based Learning: Explanation, Complexity, and Reliability AssessmentMontavon, G. / Braun, M. / Krueger, T. et al. | 2013
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Diffusion Maps for Signal Processing: A Deeper Look at Manifold-Learning Techniques Based on Kernels and GraphsTalmon, R. / Cohen, I. / Gannot, S. et al. | 2013
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Kernel-Based Methods for Hypothesis Testing: A Unified ViewHarchaoui, Z. / Bach, F. / Cappe, O. et al. | 2013
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Kernel Embeddings of Conditional Distributions: A Unified Kernel Framework for Nonparametric Inference in Graphical ModelsLe Song, / Fukumizu, K. / Gretton, A. et al. | 2013
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Nonparametric Basis Pursuit via Sparse Kernel-Based Learning: A Unifying View with Advances in Blind MethodsBazerque, J. A. / Giannakis, G. B. et al. | 2013
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Kernel-Based Learning for Statistical Signal Processing in Cognitive Radio Networks: Theoretical Foundations, Example Applications, and Future DirectionsGuoru Ding, / Qihui Wu, / Yu-Dong Yao, et al. | 2013
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Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured DataQibin Zhao, / Guoxu Zhou, / Adali, T. et al. | 2013
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Kernel Methods on Spike Train Space for Neuroscience: A TutorialIl Memming Park, / Seth, S. / Paiva, A. et al. | 2013
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Simple Formulae for Bias and Mean Square Error Computation [DSP Tips and Tricks]So, Hing Cheung / Chan, Yiu Tong / Ho, K.C. et al. | 2013
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An Introduction to Box Particle Filtering [Lecture Notes]Gning, A. / Ristic, B. / Mihaylova, L. et al. | 2013
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The Consumer Digital Video Library [Best of the Web]Pinson, Margaret H. et al. | 2013
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[Errata, "Dynamic Network Cartography: Advances in Network Health Monitoring"]| 2013
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[Dates Ahead]| 2013
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[Front cover]| 2013
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Erratum: Dynamic network cartography (IEEE Signal Processing Magazine 30:3 (129-143))| 2013