Source separation and machine learning. ([2019])
- Record Type:
- Book
- Title:
- Source separation and machine learning. ([2019])
- Main Title:
- Source separation and machine learning
- Further Information:
- Note: Jen-Tzung Chien.
- Authors:
- Chien, Jen-Tzung
- Contents:
- Part I Fundamental Theories 1. Introduction 2. Model-based blind source separation 3. Adaptive learning machine Part II Advanced Studies 4. Independent component analysis 5. Nonnegative matrix factorization 6. Nonnegative tensor factorization 7. Deep neural network 8. Summary and Future Trends
- Publisher Details:
- London : Academic Press, an imprint of Elsevier
- Publication Date:
- 2019
- Copyright Date:
- 2019
- Extent:
- 1 online resource
- Subjects:
- 621.3822
Blind source separation
Machine learning
TECHNOLOGY & ENGINEERING / Mechanical
Electronic books - Languages:
- English
- ISBNs:
- 9780128045770
0128045779
9780128177969
0128177969 - Related ISBNs:
- 9780128045664
- Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (EBSCO, viewed October 24, 2018). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.341853
- Ingest File:
- 01_292.xml