IEEE Signal Processing Magazine 2013 Vol. 4

Institute of Electrical and Electronics Engineers, -225 pp.Special Section—Advances in Kernel-Based Learning for Signal Processing
From the Guest Editors
Kernel Multivariate Analysis Framework for Supervised Subspace Learning
Entropy-Relevant Dimensions in the Kernel Feature Space
Gaussian Processes for Nonlinear Signal Processing
Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing
Analyzing Local Structure in Kernel-Based Learning
Diffusion Maps For Signal Processing
Kernel-Based Methods for Hypothesis Testing
Kernel Embeddings of Conditional Distributions
Nonparametric Basis Pursuit via Sparse Kernel-Based Learning
Kernel-Based Learning for Statistical Signal Processing in Cognitive Radio Networks
Kernelization of Tensor-Based Models for Multiway Data Analysis
Kernel Methods on Spike Train Space for Neuroscience
Columns
From the Editor
Diversification of Signal Processing Research: A Potential for More Growth?
President’s Message
Sign onto Technical Committees
Special Reports
New Directions in Audio and Acoustics Research
Machine-to-Machine Connectivity Market Is Booming
DSP Tips & Tricks
Simple Formulas for Bias and Mean Square Error Computation
Lecture Notes
An Introduction to Box Particle Filtering
Best of the Web
The Consumer Digital Video
IEEE Signal Processing Society ContentGazette July 2013