Stay Connected:

IEEE Signal Processing Society, Bangalore Chapter, IEEE Bangalore Section,
and Department of Electrical Engineering, Indian Institute of Science

Invite you to a tutorial by

Prasad Sudhakar,
postdoctoral researcher in the Institute of Information and Communication
Technologies, Electronics and Applied Mathematics (ICTEAM) at the
Université catholique de Louvain, Belgium

on

An introduction to sparse representations and compressed sensing

Time & Date: 9.15am to 12.30pm (3 Hrs); Saturday, September 7th, 2013
Venue: Multimedia Classroom (PE 217), EE Dept, IISc.
Registration : Rs. 750/- (Regular)
: Rs. 600/- (Regular – IEEE Member)
: Rs. 300/- (Student)
: Rs. 200/- (Student – IEEE Member)

Abstract:
———-
The band-limited signal model and the associated Whittaker-Shannon
sampling scheme has been central to most signal processing tasks for
several decades. However, of late, new signal models based on sparse
representations are gaining popularity and are finding interesting
applications. Of particular importance is the emerging field of compressed
sensing, where one can exploit sparsity of signals and acquire them
non-adaptively in a small number of samples, without adhering to the
Shannon sampling theorem. In the past decade, tremendous progress has been
made resulting in strong theoretical foundations for compressed sensing,
and efforts are being made to design new kinds of sensors based on
compressive sensing principles. This tutorial will introduce the
conceptual ideas underlying sparse signal models and compressed sensing,
and provide some applications of the same.

Short bio:
———-
Prasad Sudhakar is a postdoctoral researcher in the Institute of
Information and Communication Technologies, Electronics and Applied
Mathematics (ICTEAM) at the Université catholique de Louvain, Belgium and
currently a visiting researcher in the EE department of IISc, Bangalore.
He obtained his PhD in 2011 from INRIA, France and his M.Sc.(Engg.) in
2008 from the EE department, IISc. His interests are broadly in the
applications of sparse and low complexity models for solving inverse
problems in signal processing.

Interested participants should confirm their registration by sending a
mail (with subject “Registration”) to: ieeespblr@gmail.com providing the
following details.

————————————————
Name:

Organization:

Email:

Phone:

Student/Academia or Industry participant:
(Carry original and valid proof of ID for on-spot registration)

IEEE Membership No.:
————————————————
The registration fee shall be paid by cash at the registration desk on 7th
September 2013.

Add Your Comments

Your email address will not be published. Required fields are marked *

First Name*
Subject*
Email*
Your Comments