Machine Learning in Signal Processing

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

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• Teoria matemática da computação
• Processamento de sinais
• Engenharia das comunicações e telecomunicações
• Aprendizagem mecânica

Brain Computer Interfacing;Ml Algorithm;Semi-supervised Learning;Deep Learning Models;Machine Learning;Convolutional Layer;Ml Model;Wavelet Transform;Deep Neural Networks;Unsupervised Learning;Max Pooling Layer;Audio Signal Processing;Esprit Method;IoT Device;BCI System;WNN;RLS Algorithm;Precision Indicators;SNR Value;DFE;LMS Algorithm;Adaptive Filter;Time Varying Channel;RBF Neural Network;Linear Adaptive Filters