Classes

Signal Processing Lab 2

Offered: 

2017

COURSE OBJECTIVES:
To enhance the skills of using DSP hardware (TMS 320C67x based DSP kit ) and MATLAB for signal processing applications.
SYLLABUS
Experiments to learn the concepts introduced in the courses Estimation and Detection Theory, Adaptive & Non linear signal processing and Digital Image Processing using a numerical computing environment such as MATLAB or GNU Octave or any other equivalent tool
Must include experiments related to Multirate Signal Processing, Speech Processing, Image Processing and Adaptive Filter Implementation.

Digital Image Processing

Offered: 

2017

COURSE OBJECTIVES:
To give the Student:-
 An understanding of fundamentals of images
 An understanding of various realms of imaging processing
 An ability to carry out image processing operations.
 An overview of applications of image processing
SYLLABUS
Digital Image fundamentals- representation, elements of visual perception, Image Enhancement ,Image restoration, Image Compression, Image Segmentation, Representation and Descriptions, Morphological Image Processing, and color image processing.

06SP 6032 Digital Image Processing

Offered: 

2017

COURSE OBJECTIVES:
To give the Student:-
 An understanding of fundamentals of images
 An understanding of various realms of imaging processing
 An ability to carry out image processing operations.
 An overview of applications of image processing
SYLLABUS
Digital Image fundamentals- representation, elements of visual perception, Image Enhancement ,Image restoration, Image Compression, Image Segmentation, Representation and Descriptions, Morphological Image Processing, and color image processing.

Signals & Systems

Offered: 

2016

PROGRAMME:  APPLIED ELECTRONICS & INSTRUMENTATION                               

DEGREE: BTECH

COURSE: SIGNALS & SYSTEMS

SEMESTER:    4            CREDITS: 4

COURSE CODE:  AI 010 403                                        REGULATION: 2012

Research Methodology

Offered: 

2016

COURSE OBJECTIVES:
The primary objective of this course is to develop a research orientation among the scholars and to acquaint them with fundamentals of research methods. Specifically, the course aims at introducing them to the basic concepts used in research and to scientific social research methods and their approach. It includes discussions on sampling techniques, research designs and techniques of analysis. Some other objectives of the course are:
 To develop understanding of the basic framework of research process.

Signal Processing Lab 1

Offered: 

2016

COURSE OBJECTIVES:

Familiarization of the students to DSP hardware and to implement signal processing algorithms in MATLAB,

SYLLABUS

Part-A

Experiments to learn the concepts introduced in the courses Linear Algebra, Probability & Random Process and Multi rate signal processing using a numerical computing environment such as MATLAB or GNU Octave or any other equivalent tool.

Part-B

Familiarization of TMS320C6X based DSP kit and code composer studio IDE.

Programming to learn assembly coding and C coding.

Multirate Signal Processing

Offered: 

2016

COURSE OBJECTIVES:
1. To understand the fundamentals of multirate signal processing and its applications.
2. To understand the concepts of filter banks and its applications.
SYLLABUS
Fundamentals of multirate signal processing, Perfect reconstruction (PR) QMF Bank, M-channel perfect reconstruction filter banks, tree structured filter banks, Paraunitary PR Filter Banks, Quantization Effects, Cosine Modulated filter banks.
COURSE OUTCOME:
1. Students will be able to apply the concepts of interpolation & decimation in real time applications.

DSP Lab

Offered: 

2015

PROGRAMME: APPLIED ELECTRONICS AND INSTRUMENTATION                          

DEGREE: BTECH

COURSE: DIGITAL SIGNAL PROCESSING LAB

SEMESTER:         7      CREDITS: 2

COURSE CODE:    AI010 708 (P)                                    REGULATION:2010 REGULATION

COURSE TYPE: CORE            

COURSE AREA/DOMAIN:  POWER ELECTRONICS

CONTACT HOURS: 0+0+3 (LAB) hours/Week.