Signal processing theory and machine learning

Signal processing theory and machine learning

Enregistré dans:

Détails bibliographiques
Auteur principal:	Chellappa, Rama (1953-....). (Directeur de la publication)
Autres auteurs:	Theodoridis, Sergios. (Directeur de la publication), Diniz, Paulo S. R. (19..-....; informaticien)., Suykens, Johan A. K. (19..-....).
Support:	E-Book
Langue:	Anglais
Publié:	Oxford : Academic press, 2014.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Communications and radar signal processing
par: Chellappa, Rama (1953-....).
Publié: (2014)

Array and statistical signal processing
par: Chellappa, Rama (1953-....).
Publié: (2014)

Image, video processing and analysis, hardware, audio, acoustic and speech processing
par: Chellappa, Rama (1953-....).
Publié: (2013)

Gaussian Processes for Machine Learning
par: Rasmussen, Carl Edward (1969-....).
Publié: (2005)

Machine learning in bio-signal analysis and diagnostic imaging
par: Dey, Nilanjan (1984-....).
Publié: (2018)

Digital Signal Processing : An Introduction
par: Anand, R..

Digital signal processing : fundamentals and applications
par: Tan, Lizhe.
Publié: (2018)

Digital Signal Processing Instant Access
par: Broesch, James D..

Cognitive Systems and Signal Processing in Image Processing
par: Zhang, Yu-Dong.
Publié: (2021)

Nonlinear signal processing : a statistical approach
par: Arce, Gonzalo R. (19..-....).
Publié: (2005)

Intelligent speech signal processing
par: Dey, Nilanjan (1984-....).
Publié: (2019)

Digital Signal Processing and Applications
par: Stranneby, Dag.

Practical Digital Signal Processing
par: Lai, Edmund.

Introduction to Digital Signal Processing
par: Meddins, Robert.
Publié: (2000)

Digital Signal Processing Demystified
par: Broesch, James D..
Publié: (1997)

Natural Language Processing and Machine Learning for Developers
par: Campesato, Oswald.

Cooperative and graph signal processing : principles and applications
Publié: (2018)

Digital signal processing : everything you need to know to get started
par: Parker, Michael.
Publié: (2010)

A wavelet tour of signal processing : the sparse way
par: Mallat, Stéphane (1962-....; professeur au Collège de France).
Publié: (2009)

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques : A MATLAB Based Approach
par: Subasi, Abdulhamit.
Publié: (2019)

Multi-Modal Signal Processing Methods and Techniques to Build Multimodal Interactive Systems
par: Thiran, Jean-Philippe (1970-....).

Biomedical Signal Processing and Artificial Intelligence in Healthcare
par: Zgallai, Walid A..

Fundamentals of Signal Processing for Sound and Vibration Engineers
par: Shin, Kihong.

Time-Frequency Signal Analysis and Processing : A Comprehensive Reference
par: Boashash, Boualem (19..-....).
Publié: (2015)

Digital signal processing system design : LabVIEW-Based hybrid programming
par: Kehtarnavaz, Nasser.
Publié: (2011)

Machine learning : theory and applications
par: Govindaraju, Venugopal (1964-....).
Publié: (2013)

Théorie du signal : modélisation statistique, automatique et traitement
par: Brucq, Denis de.
Publié: (1988)

Machine learning
par: Mueller, John Paul (1958-....).

Advanced Machining Processes of Metallic Materials Theory, Modelling and Applications
par: Grzesik, Wit (1948-....).

Advanced machining processes of metallic materials : theory, modelling and applications
par: Grzesik, Wit (1948-....).
Publié: (2016)

RF and Digital Signal Processing for Software-Defined Radio A Multi-Standard Multi-Mode Approach
par: Rouphael, Tony J..

Machine learning : expert techniques to tackle complex machine learning problems using Python
par: Thanaki, Jalaj.
Publié: (2018)

Machine learning : the new AI
par: Alpaydin, Ethem.
Publié: (2016)

Tribology and Fundamentals of Abrasive Machining Processes
par: Azarhoushang, Bahman.
Publié: (2021)

Mastering machine learning with scikit-learn : learning to implement and evaluate machine learning solutions with scikit-learn
par: Hackeling, Gavin.
Publié: (2017)

Python Machine Learning : Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
par: Raschka, Sebastian.
Publié: (2019)

Machine Learning in Microservices : Productionizing microservices architecture for machine learning solutions
par: Abouahmed, Mohamed.

Simplified Machine Learning : The essential building blocks for Machine Learning expertise
par: Sharma, Pooja.

Machine Learning with Python : Unlocking AI Potential with Python and Machine Learning
par: Theobald, Oliver.

Machine learning algorithms : popular algorithms for data science and machine learning
par: Bonaccorso, Giuseppe.
Publié: (2018)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1