Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Magno T.M. Silva"'
Publikováno v:
Digital Signal Processing. 127:103587
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dac7091ccdf837b05fd82a6da4ea313
https://doi.org/10.1016/j.dsp.2022.103587
https://doi.org/10.1016/j.dsp.2022.103587
Autor:
Jerónimo Arenas-García, Luis A. Azpicueta-Ruiz, Theodore W. Berger, Pantelis Bouboulis, Renato Candido, Alberto Carini, Stefania Cecchi, Badong Chen, Jie Chen, Symeon Chouvardas, Danilo Comminiello, Konstantinos Diamantaras, Georgios B. Giannakis, Christian Hofmann, Vassilis N. Ioannidis, Walter Kellermann, Bahare Kiumarsi, Suleyman Serdar Kozat, S.Y. Kung, Frank L. Lewis, Zhe Li, Derong Liu, Biao Luo, Meng Ma, Danilo P. Mandic, Tomas McKelvey, Hamidreza Modares, Athanasios N. Nikolakopoulos, Simone Orcioni, Raffaele Parisi, José C. Príncipe, Cédric Richard, Brian S. Robinson, Daniel Romero, Simone Scardapane, Michele Scarpiniti, Magno T.M. Silva, Dong Song, Sergios Theodoridis, Aurelio Uncini, Kyriakos G. Vamvoudakis, Nuri Denizcan Vanli, Xin Wang, Huai-Ning Wu, Yili Xia, Min Xiang, Yinan Yu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c20daf2f46fdc1880e594dc62f5ace45
https://doi.org/10.1016/b978-0-12-812976-0.00024-5
https://doi.org/10.1016/b978-0-12-812976-0.00024-5
Publikováno v:
2012 IEEE International Conference on Cyber Technology in Automation, Control & Intelligent Systems (CYBER); 1/ 1/2012, p629-633, 5p
Autor:
Chandra Singh, Rathishchandra R. Gatti, K.V.S.S.S.S. Sairam, Manjunatha Badiger, Naveen Kumar S., Varun Saxena
Explore the power of machine learning to revolutionize signal processing and optimization with cutting-edge techniques and practical insights in this outstanding new volume from Scrivener Publishing. Modeling and Optimization of Signals using Machine
Autor:
Paulo S.R. Diniz
Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and advanced signal processing theory. These theories and tools are the driving engines of many current and
Autor:
Danilo Comminiello, Jose C. Principe
Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain deg