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Machine Learning in Signal Processing: Applications, Challenges, and Road Ahead 1st Edition

Name: Machine Learning in Signal Processing: Applications, Challenges, and Road Ahead 1st Edition
SKU: EB-35111210
Availability: InStock

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Machine Learning in Signal Processing: Applications, Challenges, and Road Ahead 1st Edition Digital Instant Download

Author(s): ,Sudeep Tanwar (Editor), Anand Nayyar (Editor), Rudra Rameshwar (Editor)

ISBN(s): 9780367618902, 0367618907

Edition: 1

File Details: PDF, 20.68 MB

Year: 2021

Language: English

SKU: EB-35111210 Category: Computers - Computer Science Tags: 0367618907, 9780367618902, Anand Nayyar, Machine Learning, Rudra Rameshwar, Signal Processing, Sudeep Tanwar

Description

Machine Learning in Signal Processing: Applications, Challenges, and Road Ahead 1st Edition – Ebook Instant Download/Delivery ISBN(s): 9780367618902, 0367618907

Product details:

• ISBN 10:0367618907
• ISBN 13:9780367618902
• Author: Sudeep Tanwar (Editor), Anand Nayyar (Editor), Rudra Rameshwar (Editor)

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.

Table contents:

1. Introduction to Signal Processing and Machine Learning

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

3. Supervised and Unsupervised Learning Theory for Signal Processing

4. Applications of Signal Processing

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

6. Brain–Computer Interfacing

7. Adaptive Filters and Neural Net

8. Adaptive Decision Feedback Equalizer Based on Wavelet Neural Network

9. Intelligent Video Surveillance Systems Using Deep Learning Methods

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

11. Intelligent System for Fault Detection in Rotating Electromechanical Machines

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

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