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ORCIDSSP 2018: Freiburg im Breisgau, Germany
- 2018 IEEE Statistical Signal Processing Workshop, SSP 2018, Freiburg im Breisgau, Germany, June 10-13, 2018. IEEE 2018, ISBN 978-1-5386-1571-3
Distributed signal processing
- Freweyni K. Teklehaymanot, Michael Muma, Abdelhak M. Zoubir:
Diffusion-Based Bayesian Cluster Enumeration in Distributed Sensor Networks. 1-5 - Xi Li, Pavel Tolmachev
, Michael Pauley, Jonathan H. Manton:
A Distributed Transmission Scheduling Algorithm for Wireless Networks Based on the Ising Model. 6-10 - Guoqiang Zhang, Matthew OrConnor, Le Li:
On Convergence Analysis of Gradient Based Primal-Dual Method of Multipliers. 11-15 - Stephen Kruzick, José M. F. Moura:
Optimal Filter Design for Consensus on Random Directed Graphs. 16-20 - Elvin Isufi, Paolo Di Lorenzo, Paolo Banelli, Geert Leus:
Distributed Wiener-Based Reconstruction of Graph Signals. 21-25 - Mark R. Leonard, Christian A. Schroth, Abdelhak M. Zoubir:
Dempster-Shafer Theory Based Robust Sequential Detection in Distributed Sensor Networks. 26-29
Sparsity aware processing
- Luc Le Magoarou, Stéphane Paquelet:
Parametric Channel Estimation for Massive MIMO. 30-34 - Susanne Sparrer, Robert F. H. Fischer:
Bias Compensation in Iterative Soft-Feedback Algorithms With Applicationto (Discrete) Compressed Sensing. 35-39 - Yashar Naderahmadian, Soosan Beheshti:
Generalized Adaptive Weighted Recursive Least Squares Dictionary Learning for Retinal Vessel Inpainting. 40-44 - Alihan Kaplan, Volker Pohl, Dae Gwan Lee:
The Statistical Restricted Isometry Property For Gabor Systems. 45-49 - Nguyen Q. Tran, Henrik Ambos, Alexander Jung:
A Network Compatibility Condition For Compressed Sensing Over Complex Networks. 50-54 - Shashini De Silva, Jinsub Kim:
Coupled Compressive Sensing : Sequential Reinforcement Approach. 55-59
Machine learning and pattern recognition
- Lukas Mauch, Bin Yang:
Least-Squares Based Layerwise Pruning Of Convolutional Neural Networks. 60-64 - Dejiao Zhang, Julian Katz-Samuels, Mário A. T. Figueiredo, Laura Balzano:
Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization. 65-69 - Buse Gul Atli, Yoan Miche, Alexander Jung:
Network Intrusion Detection Using Flow Statistics. 70-74 - Fabio Nikolay, Marius Pesavento:
Learning Dags using Multiclass Support Vector Machines. 75-79 - Kenta Niwa, Guoqiang Zhang, W. Bastiaan Kleijn:
Edge Consensus Computing for Heterogeneous Data Sets. 80-84 - Anh T. Pham, Raviv Raich:
Differential Privacy for Positive and Unlabeled Learning With Known Class Priors. 85-89 - Sergey Sukhanov, Andreas Merentitis, Christian Debes, Jürgen T. Hahn, Abdelhak M. Zoubir:
Combining SVMS for Classification on Class Imbalanced Data. 90-94 - Maël Bompais, Hamza Ameur, Dominique Pastor, Elsa Dupraz:
The P-Value as a New Similarity Function for Spectral Clustering in Sensor Networks. 95-99 - Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim:
Weakly Supervised Learning of Multiple-Scale Dictionaries. 100-104 - Jorge Martinez, Silvina Pistonesi, María Cristina Maciel, Ana Georgina Flesia:
Parameter Estimation in a Gibbs-Markov Field Texture Model Based on a Coding Approach. 105-109
Signal processing for opportunistic rain monitoring
- Aart Overeem, Hidde Leijnse, Remko Uijlenhoet:
Rainfall Monitoring Using Microwave Links from Cellular Communication Networks: The Dutch Experience. 110-114 - Hagit Messer:
Wireless Communication Links as Opportunisic IoT for Near Ground Rain Monitoring. 115-119 - Filippo Giannetti, Marco Moretti, Ruggero Reggiannini, Antonio Petrolino, Giacomo Bacci, Elisa Adirosi, Luca Baldini, Luca Facheris, Samantha Melani, Alberto Ortolani:
The Potential of Smartlnb Networks for Rainfall Estimation. 120-124 - Michele d'Amico, Luca Cerea, Carlo De Michele, Roberto Nebuloni, Mattia Cubaiu:
Tomographic Reconstruction of Rainfall Fields Using Heterogeneous Frequency Microwave Links. 125-129 - Ahmad Gharanjik, Kumar Vijay Mishra, Bhavani Shankar Mysore Rama Rao, Björn E. Ottersten:
Learning-Based Rainfall Estimation via Communication Satellite Links. 130-134 - Martin Fencl, Vojtech Bares:
Quantifying Hardware Related Attenuation from the Analysis of Nearby Microwave Links. 135-138
Signal and system modelling
- Mahdi Saleh, Éric Grivel, Samir-Mohamad Omar:
Jeffrey's Divergence Between Fractionally Integrated White Noises. 139-143 - Jeanne Lefevre, Nicolas Le Bihan, Pierre-Olivier Amblard:
A Geometrical Study of the Bivariate Fractional Gaussian Noise. 144-148 - Fernando Merchan, Éric Grivel, Roberto Diversi:
Rényi Divergence to Compare Moving-Average Processes. 149-153 - Julien Flamant, Pierre Chainais, Nicolas Le Bihan:
Linear Filtering of Bivariate Signals Using Quaternions. 154-158 - Kiattisak Maichalernnukul:
Secrecy Capacity Analysis of Transmit-Receive Diversity Systems. 159-163 - Gregory Hellbourg:
Seti Detection Strategies for Single Dish Radio Telescopes. 164-168 - Ziv Yavo, Joseph M. Francos:
Geometry and Radiometry Invariant Matched Manifold Detection and Robust Homography Estimation. 169-173 - Benjamin Cooper Boniece, Farzad Sabzikar, Gustavo Didier:
Tempered Fractional Brownian Motion: Wavelet Estimation and Modeling of Turbulence in Geophysical Flows. 174-178 - David L. Riegert, David J. Thomson:
Non-Stationarity and Offset Coherence Information in Geomagnetic Applications. 179-182
Signal and information processing with coarsely quantized data
- Zhichao Shao, Lukas T. N. Landau, Rodrigo C. de Lamare:
Sliding Window Based Linear Signal Detection Using 1-Bit Quantization and Oversampling for Large-Scale Multiple-Antenna Systems. 183-187 - Fangqing Liu, Heng Zhu, Jian Li, Pu Wang, Philip V. Orlik:
Massive MIMO Channel Estimation Using Signed Measurements with Antenna-Varying Thresholds. 188-192 - Preeti Kumari, Khurram Usman Mazher, Amine Mezghani, Robert W. Heath Jr.:
Low Resolution Sampling for Joint Millimeter-Wave MIMO Communication-Radar. 193-197 - Martin Schlüter, Meik Dorpinghaus, Gerhard P. Fettweis:
On the Timing Synchronization under 1-Bit Quantization and Oversampling. 198-202 - Chunlei Xu, Vincent Schellekens, Laurent Jacques:
Taking the Edge off Quantization: Projected Back Projection in Dithered Compressive Sensing. 203-207 - Sara Krause-Solberg, Olga Graf, Felix Krahmer:
One-Bit Sigma-Delta Modulation on a Closed Loop. 208-212 - Hela Jedda, Josef A. Nossek:
Quantized Constant Envelope Precoding for Frequency Selective Channels. 213-217 - Sven Jacobsson, Yasaman Ettefagh, Giuseppe Durisi, Christoph Studer:
All-Digital Massive Mimo With a Fronthaul Constraint. 218-222 - Manuel S. Stein, Michael Fauß:
In a One-Bit Rush: Low-Latency Wireless Spectrum Monitoring With Binary Sensor Arrays. 223-227
Bayesian techniques
- John H. Mott:
Hierarchical Bayesian MCMC Estimation of Airport Operations Counts. 228-232 - Jean-Baptiste Courbot, Emmanuel Monfrini, Vincent Mazet, Christophe Collet:
Triplet Markov Trees for Image Segmentation. 233-237 - Roland Lamberti, Yohan Petetin, François Septier, François Desbouvries:
A Double Proposal Normalized Importance Sampling Estimator. 238-242 - Anish C. Turlapaty:
Shape Parameter Estimation for K-Distribution Using Variational Bayesian Approach. 243-247 - Jordi Vilà-Valls, Pau Closas, Mónica F. Bugallo, Joaquín Míguez:
A Probabilistic Approach for Adaptive State-Space Partitioning. 248-252 - Sang Wu Kim, Xudong Liu:
Crypto-Aided Bayesian Detection of False Data in Short Messages. 253-257 - Bastian Alt, Michael Messer, Jochen Roeper, Gaby Schneider, Heinz Koeppl:
Non-Parametric Bayesian Inference for Change Point Detection in Neural Spike Trains. 258-262 - Milutin Pajovic:
Misspecified Bayesian Cramér-Rao Bound for Sparse Bayesian. 263-267 - Milan Papez:
A Projection-Based Rao-Blackwellized Particle Filter to Estimate Parameters in Conditionally Conjugate State-Space Models. 268-272 - Ju Gao, Diyan Teng, Emre Ertin:
A Probabilistic Approach for Heart Rate Variability Analysis Using Explicit Duration Hidden Markov Models. 273-277
Sampling and reconstruction
- Samuel Pinilla, Jorge Bacca, Jean-Yves Tourneret, Henry Arguello:
A Smoothing Stochastic Phase Retrieval Algorithm for Solving Random Quadratic Systems. 278-282 - Edwin Vargas, Samuel Pinilla, Jorge Bacca, Henry Arguello:
Robust Formulation for Solving Underdetermined Random Linear System of Equations Via Admm. 283-287 - Dian Mo, Marco F. Duarte:
Multi-Branch Binary Modulation Sequences For Interferer Rejection. 288-292 - Niklas Koep, Rudolf Mathar:
Block-Sparse Signal Recovery From Binary Measurements. 293-297 - Ren Wang, Xuejun Liao, Jingbo Guo:
Convolutional Gaussian Mixture Models with Application to Compressive Sensing. 298-302 - Ahmed Karam Eldaly, Yoann Altmann, Antonios Perperidis, Steve McLaughlin:
Deconvolution of Irregularly Subsampled Images. 303-307 - Ariel Shallom, Hagai Kirshner, Moshe Porat:
Adaptive Reconstruction Along Mobile Sensing Paths. 308-312 - Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Subsampling with K Determinantal Point Processes for Estimating Statistics in Large Data Sets. 313-317
Geometry in signal processing and machine learning
- Yajing Liu, Edwin K. P. Chong, Ali Pezeshki:
Extending Polymatroid Set Functions With Curvature and Bounding the Greedy Strategy. 318-322 - Ignacio Santamaría, David Ramírez, Louis L. Scharf:
Subspace Averaging for Source Enumeration in Large Arrays. 323-327 - Steven Thomas Smith, Edward K. Kao, Danelle C. Shah, Olga Simek, Donald B. Rubin:
Influence Estimation on Social Media Networks Using Causal Inference. 328-332 - Chia-Hsiang Lin, José M. Bioucas-Dias:
Provably and Roubst Blind Source Seperation of Ill-Conditioned Hyperspectral Mixtures. 333-337 - Joanna Slawinska, Abbas Ourmazd, Dimitrios Giannakis:
A New Approach to Signal Processing of Spatiotemporal Data. 338-342 - Clayton Shonkwiler:
The Geometry of Constrained Randomwalks and an Application to Frame Theory. 343-347 - Stephen D. Howard, Songsri Sirianunpiboon, Douglas Cochran:
The Geometry of Coherence and Its Application to Cyclostationary Time Series. 348-352 - Javier Álvarez-Vizoso, Michael Kirby, Chris Peterson:
Manifold Curvature From Covariance Analysis. 353-357 - Sutanoy Dasgupta, Debdeep Pati, Ian H. Jermyn, Anuj Srivastava:
Shape-Constrained and Unconstrained Density Estimation Using Geometric Exploration. 358-362
Matrix and tensor methods
- Mine Alsan, Zhaoqiang Liu, Vincent Y. F. Tan:
Minimax Lower Bounds for Nonnegative Matrix Factorization. 363-367 - Phung Lai, Raviv Raich, Molly Megraw:
Convmd: Convolutive Matrix Decomposition For Classification Of Matrix Data. 368-372 - Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez:
A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing. 373-377 - Qiang Li, Wing-Kin Ma, Qiong Wu:
Hyperspectral Super-Resolution: Exact Recovery In Polynomial Time. 378-382 - Ruiyuan Wu, Qiang Li, Xiao Fu, Wing-Kin Ma:
A Convex Low-Rank Regularization Method for Hyperspectral Super-Resolution. 383-387 - Meryem Jabloun, Philippe Ravier, Olivier Buttelli:
On The Statistical Properties Of The Generalized Discrete Teager-Kaiser Energy Operator Applied To Uniformly Distributed Random Signals. 388-392 - Konstantin Usevich, Valentin Emiya, David Brie, Caroline Chaux:
Characterization of Finite Signals with Low-Rank Stft. 393-397
Signal separation methods
- Myung Cho, Wenjing Liao, Yuejie Chi:
A Non-Convex Approach To Joint Sensor Calibration And Spectrum Estimation. 398-402 - Zois Boukouvalas, Yuri Levin-Schwartz, Rami Mowakeaa, Gengshen Fu, Tülay Adali:
Independent Component Analysis Using Semi-Parametric Density Estimation Via Entropy Maximization. 403-407 - Todd K. Moon, Jacob H. Gunther:
Acoustic Echo Cancellation During Doubletalk Using Convolutive Blind Source Separation of Signals Having Temporal Dependence. 408-412 - Amir Weiss, Arie Yeredor:
Bounds on Passive Tdoa Estimation in Mixtures. 413-417 - Ludivine Nus, Sebastian Miron, David Brie:
On-Line Blind Unmixing For Hyperspectral Pushbroom Imaging Systems. 418-422 - Yazan Abdoush, Giacomo Pojani, Giovanni Emanuele Corazza:
Least-Squares Signal Synthesis From Modified S-Transform. 423-427 - Klaus Nordhausen, Joni Virta:
Ladle Estimator For Time Series Signal Dimension. 428-432 - Boujemaa Ait-El-Fquih, Jean-François Giovannelli, Nicolas Paul, Alexandre Girard, Ibrahim Hoteit:
A Variational Bayesian Estimation Scheme For Parametric Point-Like Pollution Source of Groundwater Layers. 433-437 - Trung Vu, Raviv Raich:
Adaptive Step Size Momentum Method For Deconvolution. 438-442
Random matrix advances for big data machine learning
- Antoine Chevreuil, Philippe Loubaton:
On The Non-Detectability of Spiked Large Random Tensors. 443-447 - Jonathan Dong, Sylvain Gigan, Florent Krzakala, Gilles Wainrib:
Scaling Up Echo-State Networks With Multiple Light Scattering. 448-452 - Hafiz Tiomoko Ali, Abla Kammoun, Romain Couillet:
Random Matrix-Improved Kernels For Large Dimensional Spectral Clustering. 453-457 - Alan Edelman, Yuyang Wang:
Random Hyperplanes, Generalized Singular Values & "What's My β?". 458-462 - Hanwen Huang:
Asymptotic Behavior Of Margin-Based Classification Methods. 463-467 - Rémi Bardenet, Adrien Hardy:
From Random Matrices to Monte Carlo Integration Via Gaussian Quadrature. 468-472 - Liusha Yang, Matthew R. McKay, Romain Couillet:
Random Matrix-Optimized High-Dimensional MVDR Beamforming. 473-477
Signal processing over graphs and networks
- Feng Ji, Wenchang Tang, Wee Peng Tay:
Properties and Applications of Gromov Matrices In Network Inference. 478-482 - Naoki Saito:
How Can We Naturally Order and Organize Graph Laplacian Eigenvectors? 483-487 - Jia Chen, Gang Wang, Yanning Shen, Georgios B. Giannakis:
Canonical Correlation Analysis with Common Graph Priors. 488-492 - Mikhail Tsitsvero, Pierre Borgnat, Paulo Gonçalves:
Multidimensional Analytic Signal with Application on Graphs. 493-497 - Elena Domínguez Jiménez, David Luengo, Fernando Cruz-Roldán:
Channel Estimation Using Type-III Even Discrete Cosine Transform in Multicarrier Communications. 498-502 - Esraa Al-sharoa, Mahmood Al-khassaweneh, Selin Aviyente:
Temporal Block Spectral Clustering for Multi-Layer Temporal Functional Connectivity Networks. 503-507 - Santiago Segarra, Antonio G. Marques, Mohak Goyal, Samuel Rey-Escudero:
Network Topology Inference From Input-Output Diffusion Pairs. 508-512 - Eike Petersen, Christian Hoffmann, Philipp Rostalski:
On Approximate Nonlinear Gaussian Message Passing on Factor Graphs. 513-517
Adaptive signal processing
- Shinrichi Koike:
Recursive Least Complex Signa Signum Algorithm. 518-522 - Marcelo J. M. Spelta, Wallace A. Martins:
Optimal Constraint Vectors for Set-Membership Proportionate Affine Projection Algorithms. 523-527 - Kengo Uchida, Isao Yamada:
An ℓ1-Penalization Of Adaptive Normalized Quasi-Newton Algorithm For Sparsity-Aware Generalized Eigenvector Estimation. 528-532 - Masao Yamagishi, Isao Yamada:
Sparsity-Aware Adaptive Proximal Forward-Backward Splitting Under The Principle Of Minimal Disturbance. 533-537 - Ikram Bouchikhi, André Ferrari, Cédric Richard, Anthony Bourrier, Marc Bernot:
Non-Parametric Online Change-Point Detection with Kernel LMS By Relative Density Ratio Estimation. 538-542 - Peter Martin Vieting, Rodrigo C. de Lamare, Lukas Martin, Guido Dartmann, Anke Schmeink:
An Adaptive Learning Approach To Parameter Estimation For Hybrid Petri Nets In Systems Biology. 543-547 - Muhammad Asad Lodhi, Waheed U. Bajwa:
Union of Subspaces Signal Detection In Subspace Interference. 548-552
Data driven methods
- Luca Martino, Victor Elvira, Gustau Camps-Valls:
Distributed Particle Metropolis-Hastings Schemes. 553-557 - Luca Martino, Victor Elvira, Joaquín Míguez, Antonio Artés-Rodríguez, Petar M. Djuric:
A Comparison Of Clipping Strategies For Importance Sampling. 558-562 - Herwig Wendt, Patrice Abry, Gustavo Didier:
Wavelet Domain Bootstrap for Testing the Equality of Bivariate Self-Similarity Exponents. 563-567 - Chieh-Feng Cheng, David V. Anderson, Mark A. Davenport, Abbas Rashidi:
Audio Classification Based on Weakly Labeled Data. 568-572 - Pedro Luiz Coelho Rodrigues, Marco Congedo, Christian Jutten:
Multivariate Time-Series Analysis Via Manifold Learning. 573-577 - Julien Lesouple, Jean-Yves Tourneret, Mohamed Sahmoudi, Franck Barbiero, Frederic Faurie:
Multipath Mitigation in Global Navigation Satellite Systems Using a Bayesian Hierarchical Model With Bernoulli Laplacian Priors. 578-582
Sparsity in estimation
- Kai Cao, Peizhong Lu:
A Low-Complexity Sub-Nyquist Blind Signal Detection Algorithm For Cognitive Radio. 583-587 - Ilker Bayram:
Hierarchical Sparsity Within And Across Overlapping Groups. 588-592 - Hans-Peter Bernhard, Andreas Springer:
Adaptive Period Estimation For Sparse Point Processes. 593-597 - Peter Jung, Martin Genzel:
Blind Sparse Recovery Using Imperfect Sensor Networks. 598-602 - Radmila Pribic, Geert Leus, Christos Tzotzadinis:
Signal-to-Noise-Ratio Analysis of Compressive Data Acquisition. 603-607 - Michael Lunglmayr, Mario Huemer:
Sparsity-Enabled Step Width Adaption For Linearized Bregman Based Algorithms. 608-612 - Qianru Jiang, Rodrigo C. de Lamare, Yuriy V. Zakharov, Sheng Li, Xiongxiong He:
Joint Sensing Matrix Design And Recovery Based On Normalized Iterative Hard Thesholding for Sparse Systems. 613-617 - Peter Kovacs:
Sparsity Problem Involving Rational Basis Functions. 618-622 - Herbert Groll, Christoph F. Mecklenbräuker, Peter Gerstoft:
Sparse Bayesian Learning for Directions of Arrival on an FPGA. 623-627
Bayesian modeling and inference for localization and tracking
- Markus Fröhle, Karl Granström, Henk Wymeersch:
Multiple Target Tracking With Uncertain Sensor State Applied To Autonomous Vehicle Data. 628-632 - Erik Leitinger, Stefan Grebien, Xuhong Li, Fredrik Tufvesson, Klaus Witrisal:
On the Use of Mpc Amplitude Information in Radio Signal Based Slam. 633-637 - Sam Safavi, Usman A. Khan, Soummya Kar, José M. F. Moura:
Linear Distributed Algorithms For Localization In Mobile Networks. 638-642 - Patrick Ellis, Farid U. Dowla:
A Single Satellite Geolocation Solution of an RF Emitter Using a Constrained Unscented Kalman Filter. 643-647 - Mattia Brambilla, Gloria Soatti, Monica Nicoli:
Precise Vehicle Positioning by Cooperative Feature Association and Tracking in Vehicular Networks. 648-652 - Rene Repp, Pavel Rajmic, Florian Meyer, Franz Hlawatsch:
Target Tracking Using a Distributed Particle-Pda Filter With Sparsity-Promoting Likelihood Consensus. 653-657 - Eva Arias-de-Reyna, Davide Dardari, Pau Closas, Petar M. Djuric:
Estimation Of Spatial Fields Of Nlos/Los Conditions For Improved Localization In Indoor Environments. 658-662 - Soumyasundar Pal, Mark Coates:
Sequential MCMC With The Discrete Bouncy Particle Sampler. 663-667
Detection and estimation
- David J. Thomson:
Quadratic-Inverse Estimates Of Autocorrelation. 668-672 - Eyal Nitzan, Tirza Routtenberg, Joseph Tabrikian:
Limitations of Constrained CRB and an Alternative Bound. 673-677 - Jitendra K. Tugnait:
An Edge Exclusion Test for Complex Gaussian Graphical Model Selection. 678-682 - Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh:
Classification of Local Field Potentials using Gaussian Sequence Model. 683-687 - Patrice Abry, Herwig Wendt, Gustavo Didier:
Detecting and Estimating Multivariate Self-Similar Sources in High-Dimensional Noisy Mixtures. 688-692 - Christopher McLean, Michael Pauley, Jonathan H. Manton:
Limitations of Decision Based Pile-Up Correction Algorithms. 693-697 - Songsri Sirianunpiboon, Stephen D. Howard, Stephen D. Elton:
A Group Invariance Approach to a Very Weak LFM Signal Detection. 698-701 - François A. Marshall, Glen Takahara, David J. Thomson:
A Multitaper Test For The Detection of Non-Stationary Processes Using Canonical Correlation Analysis. 702-706 - Yaoru Yang, David M. Halliday:
A Unified Framework of Third Order Time and Frequency Domain Analysis for Neural Spike Trains. 707-711
Communication systems and networks
- Tsvi Gregory Dvorkind, Asaf Cohen:
Maximizing Miss Detection for Covert Communication Under Practical Constraints. 712-716 - Jun Tong, Qinghua Guo, Jiangtao Xi, Yanguang Yu, Peter J. Schreier:
Regularized Lattice Reduction-Aided Ordered Successive Interference Cancellation for MIMO Detection. 717-721 - Mohammad Soleymani, Christian Lameiro, Peter J. Schreier, Ignacio Santamaría:
Improper Signaling for OFDM Underlay Cognitive Radio Systems. 722-726 - Mingjie Shao, Qiang Li, Wing-Kin Ma, Anthony Man-Cho So:
Minimum Symbol Error Rate-Based Constant Envelope Precoding for Multiuser Massive Miso Downlink. 727-731 - Jesús Pérez, Ignacio Santamaría, Javier Vía:
Adaptive EM-Based Algorithm for Cooperative Spectrum Sensing in Mobile Environments. 732-736 - Jitendra K. Tugnait:
Detection of Pilot Spoofing Attack Over Frequency Selective Channels. 737-741 - Shachar Shayovitz, Dan Raphaeli:
Robust Low Complexity Digital Self Interference Cancellation for Multi Channel Full Duplex Systems. 742-746 - Bohan Li, Tejaswi Nanjundaswamy, Kenneth Rose:
Adaptive State Estimation Over Lossy Sensor Networks Fully Accounting for End-To-End Distortion. 747-751
Array processing
- David A. Hague:
Target Resolution Properties of the Multi-Tone Sinusoidal Frequency Modulatedwaveform. 752-756 - Elad Meir, Tirza Routtenberg:
Selective Cramér-Rao Bound For Estimation After Model Selection. 757-761 - David Gomez-Casco, José A. Lopez-Salcedo, Gonzalo Seco-Granados:
Statistical Characterization of the Optimal Detector for a Signal with Time-Varying Phase Based on the Edgeworth Series. 762-765 - Anna Guerra, Francesco Guidi, Jacopo DallrAra, Davide Dardari:
Occupancy Grid Mapping for Personal Radar Applications. 766-770 - Riku Akema, Masao Yamagishi, Isao Yamada:
An Efficient Greedy Algorithm for finding the Nearest Simultaneous Diagonalizable Family. 771-775 - Amir Adler, Mati Wax:
Constant Modulus Beamforming Via Low-Rank Approximation. 776-780
Optimization
- Maobiao Yang, Yongwei Huang:
Robust Semi-Variance Downside Risk Portfolio Problems: A Convex Optimization Approach. 781-785 - Michael Fauß, Abdelhak M. Zoubir, Alex Dytso, H. Vincent Poor:
Tight MMSE Bounds for the AGN Channel Under KL Divergence Constraints on the Input Distribution. 786-790 - Michael Pauley, Jonathan H. Manton:
Global Optimisation for Time of Arrival-Based Localisation. 791-795 - Gersende Fort, Laurent Risser, Yves F. Atchadé, Eric Moulines:
Stochastic Fista Algorithms: So Fast ? 796-800 - Ziping Zhao, Rui Zhou, Zhongju Wang, Daniel P. Palomar:
Optimal Portfolio Design for Statistical Arbitrage in Finance. 801-805 - Ahmed Douik, Babak Hassibi:
A Riemannian Approach for Graph-Based Clustering by Doubly Stochastic Matrices. 806-810 - Ziping Zhao, Daniel P. Palomar:
Sparse Reduced Rank Regression with Nonconvex Regularization. 811-815 - Dominik Stöger, Jakob Geppert, Felix Krahmer:
Sparse Power Factorization With Refined Peakiness Conditions. 816-820 - Christos Thrampoulidis, Weiyu Xu:
The Performance Of Box-Relaxation Decoding In Massive MIMO With Low-Resolution ADCS. 821-825 - Yang You, Zuxing Li, Tobias J. Oechtering:
Optimal Privacy-Enhancing And Cost-Efficient Energy Management Strategies For Smart Grid Consumers. 826-830
Online algorithms for static and dynamic robust PCA and compressive sensing
- Seyyid Emre Sofuoglu, Selin Aviyente:
A Two-Stage Approach to Robust Tensor Decomposition. 831-835 - Sajid Javed, Praneeth Narayanamurthy, Thierry Bouwmans, Namrata Vaswani:
Robust PCA and Robust Subspace Tracking: A Comparative Evaluation. 836-840 - Greg Ongie, David Hong, Dejiao Zhang, Laura Balzano:
Online Estimation of Coherent Subspaces with Adaptive Sampling. 841-845 - Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup:
Compressive Online Decomposition of Dynamic Signals Via N-ℓ1 Minimization With Clustered Priors. 846-850 - Hong Hu, Yue M. Lu:
Online Power Iteration For Subspace Estimation Under Incomplete Observations: Limiting Dynamics And Phase Transitions. 851-855 - Junting Chen, Urbashi Mitra:
Data Clustering Using Matrix Factorization Techniques for Wireless Propagation Map Reconstruction. 856-860
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