Content Gazette - September 2017 - 1

SEPTEMBER 1, 2017

VOLUME 65

NUMBER 17

ITPRED

(ISSN 1053-587X)

REGULAR PAPERS

Subspace Learning From Bits
Pilot-Symbol-Assisted

http://dx.doi.org/10.1109/TSP.2017.2712127

Phase

http://dx.doi.org/10.1109/TSP.2017.2709272

Noise

Compensation

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Chi and H. Fu
With

Forward-Backward

Wiener

Smoothing

4429

Filters

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N. Kamiya and E. Sasaki

4443

Parallel Equalization Structure for MIMO FBMC-OQAM Systems Under Strong Time and Frequency Selectivity
http://dx.doi.org/10.1109/TSP.2017.2711534

. . . . . . . . . . . . . . . . . . . . . . . . . F. Rottenberg, X. Mestre, D. Petrov, F. Horlin, and J. Louveaux

A Biased Look at Phase Locking: Brief Critical Review and Proposed Remedy

http://dx.doi.org/10.1109/TSP.2017.2711517

4454

............

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C. K. Kovach

4468

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . I. Selesnick

4481

Sparse Regularization via Convex Analysis

http://dx.doi.org/10.1109/TSP.2017.2711501

Multiple Change Point Analysis: Fast Implementation and Strong Consistency

http://dx.doi.org/10.1109/TSP.2017.2711558

............

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Ding, Y. Xiang, L. Shen, and V. Tarokh

4495

Some New Results About Sufficient Conditions for Exact Support Recovery of Sparse Signals via Orthogonal Matching
Pursuit

http://dx.doi.org/10.1109/TSP.2017.2711543

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C. Liu, Y. Fang, and J. Liu

4511

Information-Theoretic Compressive Sensing Kernel Optimization and Bayesian Cram´er-Rao Bound for Time Delay
Estimation

http://dx.doi.org/10.1109/TSP.2017.2706187

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Gu and N. A. Goodman

Exploiting Restricted Boltzmann Machines and Deep Belief Networks in Compressed Sensing

http://dx.doi.org/10.1109/TSP.2017.2712128

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . L. F. Polan´ıa and K. E. Barner

www.signalprocessingsociety.org

[1]

SEPTEMBER 2017

4525
4538

http://dx.doi.org/10.1109/TSP.2017.2712127 http://dx.doi.org/10.1109/TSP.2017.2709272 http://dx.doi.org/10.1109/TSP.2017.2711534 http://dx.doi.org/10.1109/TSP.2017.2711517 http://dx.doi.org/10.1109/TSP.2017.2711501 http://dx.doi.org/10.1109/TSP.2017.2711558 http://dx.doi.org/10.1109/TSP.2017.2711543 http://dx.doi.org/10.1109/TSP.2017.2706187 http://dx.doi.org/10.1109/TSP.2017.2712128 http://www.signalprocessingsociety.org

Table of Contents for the Digital Edition of Content Gazette - September 2017