<![CDATA[ IEEE Signal Processing Letters - new TOC ]]>
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TOC Alert for Publication# 97 2016September22<![CDATA[Energy-Efficient and Secure Beamforming for Self-Sustainable Relay-Aided Multicast Networks]]> -antenna source multicasts confidential messages to single-antenna legitimate users via a self-sustainable -antenna regenerative relay. In particular, the relay is powered by the energy harvested from the radio signal of the source, and there are unauthorized eavesdroppers wiretapping the channel. Assuming the knowledge of statistical channel state information of eavesdroppers, we aim to minimize the source transmission power via energy-efficient beamforming, subject to the signal-to-noise ratios of legitimate users/relay, the power constraint at the relay, and the outage constraints of the eavesdroppers. An efficient algorithm is developed by using the iterative first-order Taylor expansion and successive convex approximation, where the original nonconvex problem is transformed and solved.]]>231115091513437<![CDATA[Joint Tracking and Ground Plane Estimation]]>231115141517873<![CDATA[Optimal Auction Design With Quantized Bids]]>231115181522468<![CDATA[On the Throughput of Large MIMO Beamforming Systems With Channel Aging]]>increases with the number of antennas. We optimize the throughput with respect to the symbol and pilot energies, the number of antennas, frame duration, and target SNR. This analysis brings out the important fact that the effective channel coherence time critically depends on the underlying signaling scheme, and not only on the temporal correlation coefficient of the wireless channel.]]>231115231527528<![CDATA[GSVD-Based Precoding in MIMO Systems With Integrated Services]]>231115281532270<![CDATA[Interactive Stereo Image Segmentation With RGB-D Hybrid Constraints]]>231115331537453<![CDATA[Asymptotic Performance of the Geometric Mean Detector in Pareto Distributed Clutter]]>231115381542352<![CDATA[Guaranteed Bounds on the Kullback–Leibler Divergence of Univariate Mixtures]]>231115431546316<![CDATA[Design of Recursive Digital Filters in Parallel Form by Linearly Constrained Pole Optimization]]>231115471550572<![CDATA[SAR Image Segmentation With Rényi's Entropy]]>$G_A^0$ model, and here, it is an input to segmentation methods. For performance evaluation of the proposed methodology, we employ the error of segmentation, the cross-region fitting index, the Dice measure, as well as the rates of false positives and negatives. Tests have been performed on synthetic and real SAR images and the matrix of entropy has improved the results, regardless of the increase of the number of looks. The Otsu's method of global thresholding produced good segmentation results when applied to this matrix.]]>231115511555869<![CDATA[Besta-Divergence-Based Variational Model for Speckle Reduction]]>a posteriori (MAP) estimation based nonconvex variational model and the I-divergence-based convex model without any special transform, such as log-transform or m th root transform. Through this relation, we show that beta-TV can be used as a convex-like relaxation of the MAP-based nonconvex variational model. Empirically, we observed that the beta-TV model obtains a better peak signal to noise ratio (PSNR) compared to the state-of-the-art models, such as I-divergence-based model and the m th root transform based model.]]>231115571561534<![CDATA[Consistent Estimation of Randomly Sampled Ornstein–Uhlenbeck Process Long-Run Mean for Long-Term Target State Prediction]]>$sqrt{n}$-consistent when the sampling time is random; asymptotically efficient when the sampling time is constant; and very close to the Cramér–Rao lower bound in the cases of practical interest for MSA.]]>231115621566675<![CDATA[Face Alignment Using K-Cluster Regression Forests With Weighted Splitting]]>231115671571269<![CDATA[Iterative Maximum Likelihood and Outlier-robust Bipercentile Estimation of Parameters of Compound-Gaussian Clutter With Inverse Gaussian Texture]]>231115721576388