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SSP 2021: Rio de Janeiro, Brazil
- IEEE Statistical Signal Processing Workshop, SSP 2021, Rio de Janeiro, Brazil, July 11-14, 2021. IEEE 2021, ISBN 978-1-7281-5767-2
- Yi Yu, Rodrigo C. de Lamare, Tao Yang, Qiangming Cai:
Tracking Analyses Of M-Estimate Based LMS And NLMS Algorithms. 1-5 - Eldridge Alcantara, Les Atlas, Shima Abadi:
Direction-of-Arrival Estimation Using Signal Processing on Graphs. 1-5 - Lu Shen, Yuriy Zakharov, Long Shi, Benjamin Henson:
Performance of Adaptive Filtering Based on Legendre Polynomials. 6-10 - Tadeu N. Ferreira, Sergio L. Netto, Marcello L. R. de Campos, Paulo S. R. Diniz:
Blind Carrier Frequency Offset Estimation for OFDM using Efficient Combinations of Esprit and Music. 11-15 - Zongsheng Zheng, Lu Lu, Yi Yu, Rodrigo C. de Lamare, Zhigang Liu:
FxlogRLP: The Filtered-X Logarithmic Recursive Least P-Power Algorithm. 16-20 - Guilherme Zucatelli, Rosangela Coelho:
Adaptive Learning With Surrogate Assisted Training Models Using Limited Labeled Acoustic Sample Sequences. 21-25 - Paulo S. R. Diniz, Marcele O. K. Mendonça:
Zero-Padding OFDM Receiver Using Machine Learning. 26-30 - Kei Komuro, Masahiro Yukawa, Renato L. G. Cavalcante:
Distributed Sparse Optimization With Minimax Concave Regularization. 31-35 - Khaled Jamal Bakri, Eduardo Vinicius Kuhn, Marcos Vinicius Matsuo, Rui Seara, Jacob Benesty, Constantin Paleologu, Silviu Ciochina:
On the Stochastic Modeling of the NLMS Algorithm Operating with Bilinear forms. 36-40 - Thales Curioni Raia, Mariana G. Pralon Thomas, José Antonio Apolinário:
Performance of a hybrid non-contiguous planar array: effect of phase shifter quantization. 41-45 - Vinay Chakravarthi Gogineni, Severin R. E. Langberg, Valeriya Naumova, Jan F. Nygård, Mari Nygård, Markus Grasmair, Stefan Werner:
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective. 46-50 - Wesley S. Leite, Rodrigo C. de Lamare:
Direction Finding with List-Based Orthogonal Matching Pursuit for Sparse Arrays. 51-55 - Violeta Roizman, Guillaume Ginolhac, Matthieu Jonckheere, Frédéric Pascal:
On Change Detection for Polsar Image Time Series: A New Clustering Approach. 56-60 - Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento:
Energy-Efficient Distributed Learning with Adaptive Bias Compensation for Coarsely Quantized Signals. 61-65 - Thiago Y. Aoyagi, Alexandre C. Ferreira, Cássio Guimarães Lopes, Vítor H. Nascimento:
Exploring Undermodeling in Combinations of Adaptive Filters. 66-70 - Stefan Vlaski, Ali H. Sayed:
Competing Adaptive Networks. 71-75 - Youye Xie, Michael B. Wakin, Gongguo Tang:
Contaminated Multiband Signal Identification Via Deep Learning. 76-80 - Daniel Gritzner, Jörn Ostermann:
Minimizing Manual Labeling Effort for The Semantic Segmentation of Aerial Images. 81-85 - Rui Min, Christelle Garnier, François Septier, John Klein:
Parallel Block Particle Filtering. 86-90 - Ana Fernandez Vidal, Marcelo Pereyra, Alain Durmus, Jean-François Giovannelli:
Fast Bayesian Model Selection in Imaging Inverse Problems Using Residuals. 91-95 - Gersende Fort, Eric Moulines:
The Perturbed Prox-Preconditioned Spider Algorithm: Non-Asymptotic Convergence Bounds. 96-100 - Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira:
Simulated Annealing: a Review and a New Scheme. 101-105 - Hajar El Hassani, Anne Savard, Elena Veronica Belmega:
Energy-Efficient 1-Bit Feedback Noma in Wireless Networks with No CSIT/CDIT. 106-110 - Mahdi Shakiba-Herfeh, Arsenia Chorti:
Comparison of Short Blocklength Slepian-Wolf Coding for Key Reconciliation. 111-115 - Robert M. Oliveira, Rodrigo C. de Lamare:
Rate-Compatible Polar Code Construction Based on Extension and Non-Uniform Channel Polarization for Iot Applications. 116-120 - Diana Marcela V. Melo, Lukas T. N. Landau, Lucas N. Ribeiro, Martin Haardt:
Time-Instance Zero-Crossing Precoding with Quality-of-Service Constraints. 121-125 - Tarek Sayjari, Regina Melo Silveira, Cíntia Borges Margi:
Control and data traffic isolation in SDWSN using IEEE 802.15.4e TSCH. 126-130 - Gustavo A. Nunez Segura, Arsenia Chorti, Cíntia Borges Margi:
Distributed DoS Attack Detection in SDN: Tradeoffs in Resource Constrained Wireless Networks. 131-135 - Allan E. Feitosa, Vítor H. Nascimento, Cássio Guimarães Lopes:
Low Complexity Distributed Estimation for IoT Sensor Networks. 136-140 - Rodrigo M. Coelho, Cássio Guimarães Lopes, Humberto F. Ferro:
Adaptive IIR Diffusion Networks for IoT Applications. 141-145 - Mohamed Nait Meziane, Karim Abed-Meraim, Zhipeng Zhao:
Blind Estimation of Sparse Simo Channels: Quadratic Vs. Linear Constraints. 146-150 - Saloua Chlaily, Dino Ienco, Christian Jutten, Andrea Marinoni:
On Enhanced Ensemble Learning for Multimodal Remote Sensing Data Analysis by Capacity Optimization. 151-155 - Caroline P. A. Moraes, Juliana Saldanha, Aline Neves, Denis G. Fantinato, Romis Attux, Leonardo Tomazeli Duarte:
An SOS-Based Algorithm for Source Separation in Nonlinear Mixtures. 156-160 - François Verdeil, Yannick Deville, Alain Deville:
Two-Qubit Unitary Quantum Process Tomography by Multiple-Delay Output Measurements for One Unknown Input Pure State Value. 161-165 - Reza Sameni, Christian Jutten:
A Hypothesis Testing Approach to Nonstationary Source Separation. 166-170 - Paul Berraute, Laurent Albera, Michel Rochette, Isabelle Merlet, Amar Kachenoura:
How Beamforming Can Solve The Brain Source Imaging Problem? 171-175 - Bruno Fontana da Silva, Juliana Camilo Inácio, Ana Luiza Scharf, Bartolomeu Ferreira Uchôa Filho:
Design of A Low-Complexity Receiver for Uplink SCMA with Multiple Receive Antennas. 176-180 - Victoria M. T. Palhares, Rodrigo C. de Lamare, André R. Flores, Lukas T. N. Landau:
Iterative MMSE Precoding and Power Allocation in Cell-Free Massive MIMO Systems. 181-185 - Ralf R. Müller:
Energy-Efficient Digital Beamforming by Means of Linear Computation Coding. 186-190 - Zhe Huang, An Liu, Yunlong Cai, Min-Jian Zhao:
Deep Stochastic Optimization for Algorithm-Specific Pilot Design in Massive MIMO. 191-195 - Emrah Cisija, Aya Mostafa Ahmed, Aydin Sezgin, Henk Wymeersch:
Ris-Aided mmWave MIMO Radar System for Adaptive Multi-Target Localization. 196-200 - Philippe Loubaton, Xavier Mestre:
Testing Uncorrelation of Multi-Antenna Signals Using Linear Spectral Statistics of the Spatio-Temporal Sample Autocorrelation Matrix. 201-205 - André R. Flores, Rodrigo C. de Lamare:
Robust Adaptive Power Allocation for the Downlink of Multiple-Antenna Systems. 206-210 - Seyed Hadi Mirfarshbafan, Christoph Studer:
SPADE: Sparsity-Adaptive Equalization for MMwave Massive MU-MIMO. 211-215 - Qiutong Zhang, Yang Liu, Xudong Long, Kaipeng Song, Xin He, Xueli Ren, Tianshuang Qiu:
A Cyclostationarity Based Esprit Algorithm for DOA Estimation of Uniform Circular Array. 216-220 - Kaushallya Adhikari, David A. Hague:
Matched Illumination Waveforms Using Multi-Tone Sinusoidal Frequency Modulation. 221-225 - Pierre Develter, Jonathan Bosse, Olivier Rabaste, Philippe Forster, Jean Philippe Ovarlez:
Off-Grid Radar Target Detection with the Normalized Matched Filter: A Monopulse-Based Detection Scheme. 226-230 - Shiting Wang, Yi Zhou, Xiuxiang Yang, Hongqing Liu:
A Robust Blind Source Separation Algorithm Based on Non-negative Matrix Factorization and Frequency-Sliding Generalized Cross-Correlation. 231-235 - Paul Rademacher, Milos Doroslovacki:
Bayesian Learning for Regression Using Dirichlet Prior Distributions of Varying Localization. 236-240 - Benjamin Harroué, Jean-François Giovannelli, Marcelo Pereyra:
Bayesian Model Selection for Unsupervised Image Deconvolution with Structured Gaussian Priors. 241-245 - Hakim Hafidi, Mounir Ghogho, Philippe Ciblat, Ananthram Swami:
Bayesian Node Classification for Noisy Graphs. 246-250 - Katherine Morales, Yohan Petetin:
Variational Bayesian Inference for Pairwise Markov Models. 251-255 - Shammi Farhana Islam, Alister G. Burr, David Grace:
Capacity of Distributed Millimetre-wave Antenna Arrays. 256-260 - Junwei Zhang, Wei Liu:
Antenna Selection for Multi-Beam Multiplexing Design Based on the Hybrid Beamforming Architecture. 261-265 - Song Li, Chunshan Liu, Lou Zhao, Min Li:
An Adaptive Hierarchical Search Algorithm for Millimetre-Wave Beam Alignment. 266-270 - Prabhat Raj Gautam, Li Zhang:
Hybrid Precoding for Partial-Full Mixed Connection mmWave MIMO. 271-275 - Flavio L. Duarte, Rodrigo C. de Lamare:
C-RAN-Based Cluster-Head-Driven UAV Relaying, with Recursive Maximum Minimum Distance Criterion. 276-280 - Xiaopeng Yuan, Yulin Hu, James Gross, Anke Schmeink:
Simultaneous Wireless Information and Power Transfer in Low-Latency Relaying Networks with Nonlinear Energy Harvesting. 281-285 - Xiaopeng Yuan, Yulin Hu, James Gross, Anke Schmeink:
Radio-Map-Based UAV Placement Design for UAV-Assisted Relaying Networks. 286-290 - Vanessa Mendes Rennó, José Cândido Silveira Santos Filho:
On The Generation of Autocorrelated α-η-κ-μ Fading Sequences. 291-295 - Sepideh Gherekhloo, Khaled Ardah, Martin Haardt:
Fully Digital and Hybrid Beamforming Design for Millimeter-Wave MIMO-OFDM Two-Way Relaying Systems. 296-300 - Fernando Llorente, Luca Martino, Víctor Elvira, David Delgado:
A Nearest Neighbors Quadrature for Posterior Approximation via Adaptive Sequential Design. 301-305 - Diego Cuevas, Ignacio Santamaría:
Multi-Output Kernel Adaptive Filtering with Reduced Complexity. 306-310 - Bart van Erp, Ismail Senöz, Bert de Vries:
Variational Log-Power Spectral Tracking for Acoustic Signals. 311-315 - Gersende Fort, Eric Moulines:
The Perturbed Prox-Preconditioned Spider Algorithm for EM-Based Large Scale Learning. 316-320 - Zichao Xiong, Hongqing Liu, Yi Zhou, Zhen Luo:
Multi-Speaker Tracking by Fusing Audio and Video Information. 321-325 - Mingchao Liang, Florian Meyer:
Neural Enhanced Belief Propagation for Cooperative Localization. 326-330 - Jake S. Rhodes, Adele Cutler, Guy Wolf, Kevin R. Moon:
Random Forest-Based Diffusion Information Geometry for Supervised Visualization and Data Exploration. 331-335 - Bin Wang, Huanyu Zhang, Ziping Zhao, Ying Sun:
Globally Convergent Algorithms for Learning Multivariate Generalized Gaussian Distributions. 336-340 - Austin Goddard, Yu Xiang:
A Subsampling-Based Method for Causal Discovery on Discrete Data. 341-345 - Alister G. Burr, Dick Maryopi:
On the Modelling of Coarse Vector Quantization in Distributed Massive MIMO. 346-350 - In-Soo Kim, Junil Choi:
Gridless Channel Estimation for mmWave Hybrid Massive MIMO Systems with Low-Resolution ADCs. 351-355 - Erico S. P. Lopes, Lukas T. N. Landau:
Iterative Detection and Decoding for Multiuser MIMO Systems with Low Resolution Precoding and PSK Modulation. 356-360 - Steffen Steiner, Volker Kühn, Maximilian Stark, Gerhard Bauch:
Reduced-Complexity Greedy Distributed Information Bottleneck Algorithm. 361-365 - Ramakrishna Sai Annaluru, Khurram Usman Mazher, Robert W. Heath Jr.:
Deep Learning Based Range and Doa Estimation using low Resolution FMCW Radars. 366-370 - Shahin Khobahi, Arindam Bose, Mojtaba Soltanalian:
Deep One-Bit Compressive Autoencoding. 371-375 - Martin Schlüter, Florian Gast, Meik Dörpinghaus, Gerhard P. Fettweis:
ML Carrier Phase Estimation with 1-Bit Quantization and Oversampling. 376-380 - Ana Beatriz L. B. Fernandes, Lukas T. N. Landau:
Comparator Network Aided Channel Estimation and Achievable Rates for MIMO Receivers with 1-Bit Quantization. 381-385 - Rodrigo R. M. de Alencar, Lukas T. N. Landau:
Continuous Phase Modulation With 1-Bit Quantization Using Adaptive Oversampling. 386-390 - Amine Mezghani, Daniel Plabst, A. Lee Swindlehurst, Inbar Fijalkow, Josef A. Nossek:
Sparse Linear Precoders For Mitigating Nonlinearities In Massive MIMO. 391-395 - Ranveer Uppal, Sanath Nagaraj, Eva van Leer, David V. Anderson:
Non-Parametric Online Changepoint Detection Algorithm. 396-400 - Kaushallya Adhikari:
Absolute Eigenvalues-Based Covariance Matrix Estimation for a Sparse Array. 401-405 - Gabriel Ford, Benjamin J. Foster, Michael J. Liston, Moshe Kam:
Unknown Signal Detection in Interference and Noise Using Hidden Markov Models. 406-410 - Vaibhav Garg, David Ramírez, Ignacio Santamaría:
Sparse Subspace Averaging for Order Estimation. 411-415 - Johan Lefeuvre, Saïd Moussaoui, Laurent Grosset, Anna Luiza Mendes Siqueira, Franck Delayens:
A Decision Fusion for Source Detection Based on Multimodal Supervised Spectral Unmixing. 416-420 - Rémi Beisson, Pascal Vallet, Audrey Giremus, Guillaume Ginolhac:
Change Detection in The Covariance Structure of High-Dimensional Gaussian Low-Rank Models. 421-425 - Bettina D. Barros, Naveen K. D. Venkategowda, Stefan Werner:
Quickest Detection of Stochastic False Data Injection Attacks with Unknown Parameters. 426-430 - Helmuth J. Naumer, Yizhen Lu, Farzad Kamalabadi:
Marginalization on Bifurcation Diagrams: A New Perspective on Infinite-Horizon Prediction. 431-435 - Anil Ganti, Jeffrey L. Krolik:
Sampling Rate Offset Estimation in Acoustic Sensor Networks. 436-440 - Nadav Harel, Tirza Routtenberg:
Post-Parameter-Selection Maximum-Likelihood Estimation. 446-450 - Hyebin Song, Garvesh Raskutti, Rebecca Willett:
Prediction in the Presence of Response-Dependent Missing Labels. 451-455 - Yuening Li, Wing-Kin Ma, Nicholas D. Sidiropoulos:
Robust Probabilistic Simplex Component Analysis. 456-460 - Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu:
Probabilistic Tensor Train Decomposition with Automatic Rank Determination from Noisy Data. 461-465 - Amir Weiss, Gregory W. Wornell:
One-Bit Direct Position Determination of Narrowband Gaussian Signals. 466-470 - Sam Spencer, Lav R. Varshney:
Social Bubbles and Superspreaders: Source Identification for Contagion Processes on Hypertrees. 471-475 - Abiy Tasissa, Pranay Tankala, Demba E. Ba:
Weighed ℓ1 on the Simplex: Compressive Sensing Meets Locality. 476-480 - Jian Vora, Karthik S. Gurumoorthy, Ajit Rajwade:
Recovery of Joint Probability Distribution from One-Way Marginals: Low Rank Tensors and Random Projections. 481-485 - Nasim Yahya Soltani:
Online Learning of Sparse Gaussian Conditional Random Fields with Application to Prediction of Energy Consumers Behavior. 486-490 - Diana Resmerita, Rodrigo Cabral Farias, Benoît Dupont de Dinechin, Lionel Fillatre:
Distortion Approximation of a Compressed Softmax Layer. 491-495 - Narges Mohammadi, Marvin M. Doyley, Müjdat Çetin:
MR Elasticity Reconstruction Using Statistical Physical Modeling and Explicit Data-Driven Denoising Regularizer. 496-500 - Didem Dogan, Pieter Kruizinga, Johannes G. Bosch, Geert Leus:
Multiple Measurement Vector Model for Sparsity-Based Vascular Ultrasound Imaging. 501-505 - Zaid Abdullah, Gaojie Chen, Jonathon A. Chambers:
A Cooperative Jamming Scheme for Physical Layer Security enhancement in Multihop IoT Networks with Colluding Eavesdroppers. 506-510 - Jinho Choi:
Multi-Channel Estimation of Devices with Preamble Collision in Distributed MTC. 511-515 - Roberto B. Di Renna, Rodrigo C. de Lamare:
Joint Activity Detection and Channel Estimation Based on Message Passing with RBP Scheduling for MMTC. 516-520 - Johannes Dommel, Dennis Wieruch, Zoran Utkovski, Slawomir Stanczak:
A Semantics-Aware Communication Scheme to Estimate the Empirical Measure of A Quantity of Interest Via Multiple Access Fading Channels. 521-525 - Gerhard Wunder, Axel Flinth, Benedikt Groß:
Measure Concentration on the OFDM-Based Random Access Channel. 526-530 - Benedikt Groß, Axel Flinth, Ingo Roth, Jens Eisert, Gerhard Wunder:
Hierarchical Sparse Recovery from Hierarchically Structured Measurements with Application to Massive Random Access. 531-535 - Muralidhar Rangaswamy, Matthew Shuman, Michael D. Zoltowski:
Overview of fully adaptive radar (FAR) for UAV applications. 536-540 - Yu Rong, Andrew Herschfelt, Jacob Holtom, Daniel W. Bliss:
Cardiac and Respiratory Sensing from a Hovering UAV Radar Platform. 541-545 - Zepeng Zhang, Ziping Zhao:
Scalable Financial Index Tracking with Graph Neural Networks. 546-550 - Feng Ji, Wee Peng Tay:
Signal Processing with a Distribution of Graph Operators. 551-555 - Abdullah Karaaslanli, Selin Aviyente:
Graph Learning From Noisy and Incomplete Signals on Graphs. 556-560 - Michael Weylandt, George Michailidis, T. Mitchell Roddenberry:
Sparse Partial Least Squares for Coarse Noisy Graph Alignment. 561-565 - Nariman Farsad, Nir Shlezinger, Andrea J. Goldsmith, Yonina C. Eldar:
Data-Driven Symbol Detection Via Model-Based Machine Learning. 571-575 - Mahdi Boloursaz Mashhadi, Nir Shlezinger, Yonina C. Eldar, Deniz Gündüz:
Fedrec: Federated Learning of Universal Receivers Over Fading Channels. 576-580 - Rafail Ismayilov, Renato L. G. Cavalcante, Slawomir Stanczak:
Deep Learning Beam Optimization in Millimeter-Wave Communication Systems. 581-585 - Raza Ul-Mustafa, David Moura, Christian Esteve Rothenberg:
Machine Learning Approach to Estimate Video QoE of Encrypted DASH Traffic in 5G Networks. 586-589 - Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus:
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G And Beyond. 590-594 - Aldebaro Klautau, Ailton de Oliveira, Isabela Pamplona-Trindade, Wesin Alves:
Generating Mimo Channels for 6G Virtual Worlds Using Ray-Tracing Simulations. 595-599 - Ahmed P. Mohamed, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal:
Knowledge Distillation for Wireless Edge Learning. 600-604
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