| 0 | -- | 0 | Abdelhak M. Zoubir. Diversification of Signal Processing Research: A Potential for More Growth? [From the Editor] |
| 4 | -- | 0 | K. J. Ray Liu. Sign onto Technical Committees [President's Message] |
| 6 | -- | 10 | John Edwards. New Directions in Audio and Acoustics Research [Special Reports] |
| 10 | -- | 13 | Ron Schneiderman. Machine-to-Machine Connectivity Market Is Booming [Special Reports] |
| 14 | -- | 15 | Klaus-Robert Müller, Tülay Adali, Kenji Fukumizu, Jose C. Principe, Sergios Theodoridis. Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors] |
| 16 | -- | 29 | Jerónimo Arenas-García, Kaare Brandt Petersen, Gustavo Camps-Valls, Lars Kai Hansen. Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods |
| 30 | -- | 39 | Robert Jenssen. Entropy-Relevant Dimensions in the Kernel Feature Space: Cluster-Capturing Dimensionality Reduction |
| 40 | -- | 50 | Fernando Pérez-Cruz, Steven Van Vaerenbergh, Juan José Murillo-Fuentes, Miguel Lázaro-Gredilla, Ignacio Santamaría. Gaussian Processes for Nonlinear Signal Processing: An Overview of Recent Advances |
| 51 | -- | 61 | Simo Särkkä, Arno Solin, Jouni Hartikainen. Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering |
| 62 | -- | 74 | Grégoire Montavon, Mikio L. Braun, Tammo Krueger, Klaus-Robert Müller. Analyzing Local Structure in Kernel-Based Learning: Explanation, Complexity, and Reliability Assessment |
| 75 | -- | 86 | Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman. Diffusion Maps for Signal Processing: A Deeper Look at Manifold-Learning Techniques Based on Kernels and Graphs |
| 87 | -- | 97 | Zaïd Harchaoui, Francis Bach, Olivier Cappé, Eric Moulines. Kernel-Based Methods for Hypothesis Testing: A Unified View |
| 98 | -- | 111 | Le Song, Kenji Fukumizu, Arthur Gretton. Kernel Embeddings of Conditional Distributions: A Unified Kernel Framework for Nonparametric Inference in Graphical Models |
| 112 | -- | 125 | Juan-Andrés Bazerque, Georgios B. Giannakis. Nonparametric Basis Pursuit via Sparse Kernel-Based Learning: A Unifying View with Advances in Blind Methods |
| 126 | -- | 136 | Guoru Ding, QiHui Wu, Yu-Dong Yao, JinLong Wang, Yingying Chen. Kernel-Based Learning for Statistical Signal Processing in Cognitive Radio Networks: Theoretical Foundations, Example Applications, and Future Directions |
| 137 | -- | 148 | Qibin Zhao, GuoXu Zhou, Tülay Adali, Liqing Zhang, Andrzej Cichocki. Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data |
| 149 | -- | 160 | Il Memming Park, Sohan Seth, António R. C. Paiva, Lin Li, Jose C. Principe. Kernel Methods on Spike Train Space for Neuroscience: A Tutorial |
| 162 | -- | 165 | Hing-Cheung So, Yiu-Tong Chan, K. C. Ho, Yuan Chen. Simple Formulae for Bias and Mean Square Error Computation [DSP Tips and Tricks] |
| 166 | -- | 171 | Amadou Gning, Branko Ristic, Lyudmila Mihaylova, Fahed Abdallah. An Introduction to Box Particle Filtering [Lecture Notes] |
| 172 | -- | 174 | Margaret H. Pinson. The Consumer Digital Video Library [Best of the Web] |