- 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)
