Internship - Signal Processing

RNS INSTITUTE OF TECHNOLOGY

(AICTE Approved, VTU Affiliated and NAAC ‘A’ Accredited)

(UG programs – CSE, ECE, ISE, EIE and EEE are Accredited by NBA up to 30.6.2025) Channasandra, Dr.Vishnuvardhan Road, Bengaluru - 560 098.

Department of Electronics & Communication Engg.

 II semESTER Internship Schedule

Code: 21INT49      Credits:2     Marks:100

Sl. No.	Date	Time	BATCH -1 [USN:1RN21EC001-88] Online mode	BATCH -2 [USN:1RN21EC089-176] Online mode
1	10/10/22	9am-1pm	MATLAB Introduction (MNV)	MATLAB Introduction (ANH)
2	11/10/22	9am-1pm	Online course	Online course
3	12/10/22	9am-1pm	Online course	Online course
4	13/10/22	9am-1pm	Online course	Online course
5	14/10/22	9am-1pm	Latex	Teaching Aid
6	15/10/22	9am-1pm	Teaching Aid	Photonics
7	17/10/22	9am-1pm	VLSI	Signals and Systems
8	18/10/22	9am-1pm	VLSI	Signals and Systems
9	19/10/22	9am-1pm	Embedded  System	Communication
10	20/10/22	9am-1pm	Embedded  System	Communication
11	21/10/22	9am-1pm	Signals and Systems	VLSI
12	22/10/22	9am-1pm	Signals and Systems	VLSI
13	27/10/22	9am-1pm	Communication	Embedded  System
14	28/10/22	9am-1pm	Communication	Embedded  System
15	29/10/22	9am-1pm	Photonics	Latex
16			Mini project on Signals & Systems  and VLSI domain	Mini project on Embedded  and Communication domain

Note:

Ø Each domain is scheduled for 2 days *4hours.

Ø Domain Heads: DA-TA;SVU-CS;SBG-VLSI;ARK-ES;SD-SS;VHR-Ph

Ø MS-Teams id will be provided for each batch to handle classes.

Ø Domain Heads to conduct meeting with faculty members regarding finalising syllabus, topics allotment to each, prepare list of projects.

Ø The Contents and PPTs of internship are to be discussed with HOD.

Ø Evaluation of each student is based on the Attendance-10 Marks, Onramp certification course- 20 Marks and Mini projects-30 Marks carried out by students in a group of 4 members in a single domain, Report-20 Marks, Certificate from Research Centre -20Marks

Resource Persons:

1. Dr Suresh D

2. Dr Prabhavathi C N

3. Dr Leena Chandrashekhar

4. Prof. Ghousia Begum S

5. Prof. Sanjay M Belgaonkar

6. Prof. Apoorva N Hegde

Projects offered in Signal Processing domain 

Month/Year: October 2022

 1. Sensor Fusion for Autonomous Systems - LC                                                                                      

2. Speech Background Noise Suppression with Deep Learning - LC                                                       

3. Machine Learning for the Development of Physical Sensor Models – LC

4. Early detection and analysis of eye defect Retinoblastoma using image processing – SD

5. Analysis and detection of brain disease using MRI brain images - SD

6. Contrast Enhancement of Digital Images Using an Improved Type-II Fuzzy Set-Based  Algorithm - SD

7. Audio Signal Compression - SMB

8. Title: Image Compression using SVD Technique - SMB

9. Indian Sign Language Translator. - CNP

10. Speech Emotion Recognition Using Matlab/Python - CNP

11. ECG denoising using wavelet transform - GS

12. ECG signal analysis using deep learning - GS