fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf

Site Breadcrumb

Verkauf durch Sack Fachmedien

Tanwar / Nayyar / Rameshwar

Machine Learning in Signal Processing

Applications, Challenges, and the Road Ahead

Medium: Buch
ISBN: 978-0-367-61890-2
Verlag: Chapman and Hall/CRC
Erscheinungstermin: 22.12.2021
In den Warenkorb
Lieferfrist: bis zu 10 Tage
Auf die Merkliste Drucken
Überschrift

Beschreibung

Kostenloser Versand

nach Deutschland, Österreich und in die Schweiz

Bequem zahlen

Rechnung, Kreditkarte, PayPal oder Bankeinzug

Wir sind gerne für Sie da

0800 000-1378 (Inland)
service@fachmedien.de
<<Kontaktformular>>

Fragen

Fragen Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua
Anwtorten

Anwtorten At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet

Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML).

ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML.

The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML.

FEATURES

- Focuses on addressing the missing connection between signal processing and ML

- Provides a one-stop guide reference for readers

- Oriented toward material and flow with regards to general introduction and technical aspects

- Comprehensively elaborates on the material with examples and diagrams

This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.

Produkteigenschaften

  • Artikelnummer: 9780367618902
  • Medium: Buch
  • ISBN: 978-0-367-61890-2
  • Verlag: Chapman and Hall/CRC
  • Erscheinungstermin: 22.12.2021
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2021
  • Produktform: Gebunden
  • Gewicht: 926 g
  • Seiten: 388
  • Format (B x H x T): 183 x 260 x 25 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

1. Introduction to Signal Processing and Machine Learning

Kavitha Somaraj

2. Learning Theory (Supervised/Unsupervised) for Signal Processing

Ruby Jain, Bhuvan Jain, and Manimala Puri

3. Supervised and Unsupervised Learning Theory for Signal Processing

Sowmya K. B.

4. Applications of Signal Processing

Anuj Kumar Singh and Ankit Garg

5. Dive in Deep Learning: Computer Vision, Natural Language Processing, and Signal Processing

V. Ajantha Devi and Mohd Naved

6. Brain–Computer Interfacing

Paras Nath Singh

7. Adaptive Filters and Neural Net

Sowmya K. B., Chandana G., and Anjana Mahaveer Daigond

8. Adaptive Decision Feedback Equalizer Based on Wavelet Neural Network

Saikat Majumder

9. Intelligent Video Surveillance Systems Using Deep Learning Methods

Anjanadevi Bondalapati and Manjaiah D. H.

10. Stationary Signal, Autocorrelation, and Linear and Discriminant Analysis

Bandana Mahapatra and Kumar Sanjay Bhorekar

11. Intelligent System for Fault Detection in Rotating Electromechanical Machines.

Pascal Dore, Saad Chakkor, and Ahmed El Oualkadi

12. Wavelet Transformation and Machine Learning Techniques for Digital Signal Analysis in IoT Systems

Rajalakshmi Krishnamurthi and Dhanalekshmi Gopinathan