• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 50 matches

• 2024
• 
  Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar:
  Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality. Found. Trends Signal Process. 18(3): 200-309 (2024)
• 
  Zhijian Ou:
  Energy-Based Models with Applications to Speech and Language Processing. Found. Trends Signal Process. 18(1-2): 1-199 (2024)
• 
  Astha Saini, Petre Stoica, Prabhu Babu, Aakash Arora:
  Min-Max Framework for Majorization-Minimization Algorithms in Signal Processing Applications: An Overview. Found. Trends Signal Process. 18(4): 310-389 (2024)
• 2023
• 
  Lisha Chen, Sharu Theresa Jose, Ivana Nikoloska, Sangwoo Park, Tianyi Chen, Osvaldo Simeone:
  Learning with Limited Samples: Meta-Learning and Applications to Communication Systems. Found. Trends Signal Process. 17(2): 79-208 (2023)
• 
  Xingchao Jian, Feng Ji, Wee Peng Tay:
  Generalizing Graph Signal Processing: High Dimensional Spaces, Models and Structures. Found. Trends Signal Process. 17(3): 209-290 (2023)
• 
  Bennet E. Meyers, Stephen P. Boyd:
  Signal Decomposition Using Masked Proximal Operators. Found. Trends Signal Process. 17(1): 1-78 (2023)
• 
  Nir Shlezinger, Yonina C. Eldar:
  Model-Based Deep Learning. Found. Trends Signal Process. 17(4): 291-416 (2023)
• 2022
• 
  Caroline Crockett, Jeffrey A. Fessler:
  Bilevel Methods for Image Reconstruction. Found. Trends Signal Process. 15(2-3): 121-289 (2022)
• 
  João B. O. Souza Filho, Lan-Da Van, Tzyy-Ping Jung, Paulo S. R. Diniz:
  Online Component Analysis, Architectures and Applications. Found. Trends Signal Process. 16(3-4): 224-429 (2022)
• 
  Henrik Hellström, José Mairton B. da Silva Jr., Mohammad Mohammadi Amiri, Mingzhe Chen, Viktoria Fodor, H. Vincent Poor, Carlo Fischione:
  Wireless for Machine Learning: A Survey. Found. Trends Signal Process. 15(4): 290-399 (2022)
• 
  Osvaldo Simeone:
  An Introduction to Quantum Machine Learning for Engineers. Found. Trends Signal Process. 16(1-2): 1-223 (2022)
• 2021
• 
  Özlem Tugfe Demir, Emil Björnson, Luca Sanguinetti:
  Foundations of User-Centric Cell-Free Massive MIMO. Found. Trends Signal Process. 14(3-4): 162-472 (2021)
• 
  Catherine Medlock, Alan V. Oppenheim:
  Operating Characteristics for Classical and Quantum Binary Hypothesis Testing. Found. Trends Signal Process. 15(1): 1-120 (2021)
• 2020
• 
  Anantha K. Karthik, Rick S. Blum:
  Recent Advances in Clock Synchronization for Packet-Switched Networks. Found. Trends Signal Process. 13(4): 360-443 (2020)
• 
  Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot:
  Data-Driven Multi-Microphone Speaker Localization on Manifolds. Found. Trends Signal Process. 14(1-2): 1-161 (2020)
• 2019
• 
  Markus Leinonen, Marian Codreanu, Georgios B. Giannakis:
  Compressed Sensing with Applications in Wireless Networks. Found. Trends Signal Process. 13(1-2): 1-282 (2019)
• 
  Michael T. McCann, Michael Unser:
  Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks. Found. Trends Signal Process. 13(3): 283-359 (2019)
• 2018
• 
  Bernhard Etzlinger, Henk Wymeersch:
  Synchronization and Localization in Wireless Networks. Found. Trends Signal Process. 12(1): 1-106 (2018)
• 
  Lianlin Li, Martin Hurtado, Feng Xu, Bing Chen Zhang, Tian Jin, Tie Jun Xui, Marija Nikolic Stevanovic, Arye Nehorai:
  A Survey on the Low-Dimensional-Model-based Electromagnetic Imaging. Found. Trends Signal Process. 12(2): 107-199 (2018)
• 
  Osvaldo Simeone:
  A Brief Introduction to Machine Learning for Engineers. Found. Trends Signal Process. 12(3-4): 200-431 (2018)
• 2017
• 
  Emil Björnson, Jakob Hoydis, Luca Sanguinetti:
  Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency. Found. Trends Signal Process. 11(3-4): 154-655 (2017)
• 
  Milind S. Gide, Lina J. Karam:
  Computational Visual Attention Models. Found. Trends Signal Process. 10(4): 347-427 (2017)
• 
  Manon Kok, Jeroen D. Hol, Thomas B. Schön:
  Using Inertial Sensors for Position and Orientation Estimation. Found. Trends Signal Process. 11(1-2): 1-153 (2017)
• 2016
• 
  Sundeep Prabhakar Chepuri, Geert Leus:
  Sparse Sensing for Statistical Inference. Found. Trends Signal Process. 9(3-4): 233-368 (2016)
• 
  Yiyong Feng, Daniel P. Palomar:
  A Signal Processing Perspective of Financial Engineering. Found. Trends Signal Process. 9(1-2) (2016)
• 
  Xiaogang Wang:
  Deep Learning in Object Recognition, Detection, and Segmentation. Found. Trends Signal Process. 8(4): 217-382 (2016)
• 
  Thomas Wiegand, Heiko Schwarz:
  Video Coding: Part II of Fundamentals of Source and Video Coding. Found. Trends Signal Process. 10(1-3): 1-346 (2016)
• 2015
• 
  Jonathan H. Manton, Pierre-Olivier Amblard:
  A Primer on Reproducing Kernel Hilbert Spaces. Found. Trends Signal Process. 8(1-2): 1-126 (2015)
• 
  Ami Wiesel, Teng Zhang:
  Structured Robust Covariance Estimation. Found. Trends Signal Process. 8(3): 127-216 (2015)
• 2014
• 
  Li Deng, Dong Yu:
  Deep Learning: Methods and Applications. Found. Trends Signal Process. 7(3-4): 197-387 (2014)

skipping 20 more matches