Signal Processing Using Deep Learning Applications @ Vijaya Institute of Technology for Women, Vijayawada

Participants Information

Participants:	41
Speakers:	07
Female participants:	25
Male participants:	16
Participants from SC/ST category:	10
Research Scholars:	02

Topics Covered

• Introduction to Intelligent Signal Processing
• Signal Processing Filter Design, Spectrum Analysis
• Adaptive Filter SDesign using LMS and RLS
• Implementation of GA using MATLAB
• Adaptive System Identification
• Adaptive Systems Design using Neural networks & FLAN
• Implementation using MATLAB
• Prediction using neural networks
• Active noise Cancellation
• Clustering
• Natural Language Processing using deep learning
• Deep neural networks for Biomedical Applications
• Convolution Neural Networks for Image Processing Applications
• Recurrent Neural Networks for Image processing Applications
• Introduction to R Programming
• Deep Learning Algorithms Implementation on Rasberri Pi/ZYNQ board
• Rasberry pi movidius deep learning Pantech Solutions Ltd.
• Hardware Implementation of Image Processing Application
• Hardware Implementation of Inband Motion Compensated Temporal Filtering

List of Speakers

Dr. J. Ravi Kumar, Associate Professor, NIT Warangal

Prof. G. Panda, Retd. Professor , IIT Bhubaneswar

Dr. Md. Farukh Hashmi, Assistant Professor, NIT Warangal

Dr. K. V. Kadambari, Assistant Professor, NIT Warangal

Dr. S. Goutham, Project Engineer, Pantech Solutions, Chennai

Dr. B. Nagendra, Corel Technologies, Bangalore

Dr. B. K. N. Srinivasa Rao, Assistant Professor, NIT Warangal

Feedback Summary

Organization and planning of the program was good.

Prof. Ganapathi Panda and Dr. J. Ravi Kumar lectures were excellent.

All resource persons are very knowledgeable and strength of the program.

Explanation with ppt was effective and the topics covered are very useful for research people.

Suggestions from Participants

Required more practical session.