Course Goal
The wavelet methods provide avenues for proper understanding of real world problems. The fundamental idea behind Fractal & Sparse is to analyze a given function or signal/image locally and not by frequency alone (as in standard Fourier analysis). Since wavelets are local in space they tend to yield an economical representation of a large number of functions and operators hence are useful in such applications as compression routines, detecting features in images or signals and removing noise from time series. Mathematical studies are often aimed to analyze and visualize real world problems. This workshop will explore new directions in the fields of signal/ image processing and fractal & sparse analysis. The workshops on wavelets will be tutorial flavor and practically hands on experience will be addressed to participants who are not necessarily wavelet experts. It will also provide a timely update on the most recent developments in this area. As a result, we expect the research work to be later molded in a more polished form. The field of Wavelet in Signal and Image Processing is expanding rapidly with ever-new developments and applications. The applications of Wavelets in Signal processing and image processing encompass the fields of Communication, Industrial automation, Multimedia, and medical imaging etc. Active research is being conducted in various R & D organizations and academic institutes. Hence it has become important for the educators, practicing engineers and the students, to continuously update their knowledge and skills in wavelets and its applications. We will bring together scientists and engineers for an interdisciplinary exchange of research and problems in new areas of time-scale analysis. This workshop is mainly focusing on the specialised topics of wavelets and its practical applications. It will help participants to update their knowledge and widen their horizon.
Course Outline
Introduction of Fractal: Metric spaces, iterated function systems- The collage theorem, affine transformations; Fractal dimension, Fractal encoding
Introduction to Wavelet:Fundamentals of linear algebra and vector spaces, Wavelet Theory, Time Frequency representation, Multiresolution Analysis and implementation issues of wavelets realization.
Sparse Signal Representation:
Sparse and Redundant Signal Representation
Basis Pursuit, LP Optimization Algorithms
Over-Complete Dictionaries, Dictionary selection problems
Applications of Sparse Representation:
Audio/Image/ Video processing tasks (ECE) , Wireless applications (CSE), Power quality analysis (EEE), Machines health analysis (Mechanical), Data Mining (IT) and Transportation analysis (Civil).
Hands on training in Wavelet Toolbox
Resource Persons
Dr.K.P.Soman (IIT Kharagpur)
Professor & Head
Center for Excellence in Computational Engineering & Networking
Amrita University, Coimbatore - 641 105
Dr.R.Rajaram
Dean CSE Department
Vickram College of Engineering
Enathi - 630 561
Dr.P.Venkatakrishnan
Professor & Head
Department of ECE
Vickram College of Engineering
Enathi - 630 561
Participants
The Workshop is addressed to Faculty of Engineering Colleges, Research Scholars, PG and UG Students of all the Engineering Colleges. The completed applications should reach the coordinator on or before 24th March 2012.
Registration Fee
The registration fee includes
- Workshop kit
- Workshop lab manual,
- Book:Wavelets - Theory, Applications, Implementation - Altaisky
- Certificate of participation
- Lunch and refreshment for two days.
Faculty : Rs. 1000/-
Research scholar : Rs. 750/-
Student : Rs. 500/-
Mode of Payment
All payments should be made by a crossed Demand Draft in favour of “The Principal, Vickram College of Engineering” payable at Madurai.
Please send duly filled in registration form by post along with D.D to
The Head of the Department,
Department of Electronics & Communication Engineering,
Vickram College of Engineering,
Enathi, Tamilnadu - 630 561.
Accommodation: Boarding and Lodging will be provided in the college hostel on chargeable basis.
Contact:
A.Nagaraj, This email address is being protected from spambots. You need JavaScript enabled to view it., Mobile: 95855-87985
M.Sundar, This email address is being protected from spambots. You need JavaScript enabled to view it., Mobile: 99431-93650
