1. About Sparse Theory and Applications
Workshop Highlights
The sparse representation theory states that most natural signals can be
compactly expressed as a linear combination of a few elementary signals in some • Introduction to Linear Algebra
representation matrix. Therefore, sparse representation has become an
invaluable tool as compared to direct time-domain and transform-domain signal • Importance of Mathematics in Engineering
processing methods. Recently, the theory of sparse representation and l1-norm • Signal Transforms (Fourier, DCT, Wavelet) First National Workshop on
minimization problem is widely applied in a variety of application areas such as • Optimization Algorithms
audio/image/video processing tasks (compression, denoising, deblurring,
inpainting, and superresolution), speech and object recognition, signal detection • Sparse Theory and Dictionary Learning Sparse Image & Signal Processing
and classification, face recognition, array processing, blind source separation, • Compressive Sensing and Imaging
time-delay estimation, sensor networks, cognitive radios, data acquisition, • Single Pixel Camera and 1-bit Sampling
(Focus: Sparse Theory, MATLAB & LATEX)
solution of partial differential equations, and so on. Each of these applications
demands a design of an efficient and flexible representation matrix, which is
referred to as dictionary in the sparse theory. The sparse representation from
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•
What are the Open Research Problems?
Medical Signal and Image Processing
(SISP-2011)
redundant dictionaries may provide better ways to reveal/capture the structures • Hyperspectral Image Analysis 23-26 December, 2011
and also offers better performance in signal modeling and classification problems.
The compressive sensing is a new DSP technique in data acquisition theory.
• Speech and Underwater Acoustic Signals
• Sparse Channel Estimation Organized By
• Distributed Compressive Video Sensing Centre for Excellence in
• Sparse Image Processing (denoising,
About CEN deblurring, inpainting, pattern recognition,
Computational Engineering and Networking
and compression)
The Centre for Excellence in Computational Engineering and Networking (CEN)
is actively involved in research in the board areas of Machine Learning, Image
Processing, Biomedical Signal Processing, Graphics Processing Unit (GPU) Signal/Image Features and Classifiers
Last Date for Registration: 15-12-2011
Computing, Software Defined Radio, and Natural Language Processing. The
centre has published more than 120 research papers in reputed peer reviewed
journals and international IEEE conferences. The Center offers two M.Tech
• Feature Extraction Methods Objectives of the Workshop:
degree programs (Computational Engineering and Networking, and Remote • Supervised and Un-supervised Classifiers
Sensing and Wireless Sensor Networks). Nine research students are pursuing • Importance of Gold Standard Database for The main focus of this workshop is to provide an opportunity for a multidisciplinary group
PhD degree in the field of Machine Translation for Indian Languages, Research Works of academic and industry researchers, scientists, mathematicians, leading engineers,
Biomedical Signal Processing and Kernel Methods. Many signal processing and professionals, scholar students to exchange and share their latest research, and new
NLP tools have been developed at the Center. Ongoing and completed • Summary of Standard BioSignal , Speech, and
ideas in the areas of sparse signal representations, optimization algorithms, and
research projects at the center are: Machine translation system (MHRD), Medical and Non-Medical Databases applications of compressive sensing (CS). The SISP covers theory of sparse recovery and
Factored SMT (CDAC-Pune), Source Code Plagiarism (DIT), Remote Sensing • Performance Metrics for Validating optimizations, and also gives you a comprehensive understanding of MATALB Toolboxes
Applications (ISRO), Video Summarization and Annotation (ADRIN), SVM-
based Target Classification (NPOL). Algorithms (Basic, Signal and Image Processing). The participants will be trained to prepare research
papers, thesis, and PPT slides in Latex.
Resource Persons: MATLAB & LATEX Training
• Implementation of Algorithms in MATLAB Registration Form is available @ http://www.nlp.amrita.edu:8080/sisp/
• GUI Preparation
Dr. K.R. Ramakrishnan, IISc. Bangalore • Research Ethics
Limited seat is available. Please confirm your participation through mail.
Dr. S. R. M. Prasanna, IIT Guwahati • Training for Preparing a Paper, Thesis , and
PPT slides in Latex Registration Fee: Course fee includes:
Dr. K. Rajamani, GE Research
• Student: 600 • Food and Accommodation
Dr. Muralikrishna, NPOL, DRDO, Kochi Address for Correspondence: • Faculty: 1000 • Printed Copy of Text Book on
Sparse Signal processing (500
Dr. A. Unnikrishnan, NPOL, DRDO, Kochi The coordinator • Industry: Rs. 1500 pages)
1st National Workshop on Sparse Image and Signal Processing
Filled up registration form are to be sent • Databases (in-house) created for
Dr. K. P. Soman Center for Excellence in Computational Engineering and Networking
our research works in the field of
Amrita School of Engineering, Amrita Vishwa Vidyapeetham along with the DD for course material fee
Biometric, Speech, OCR, Transient
Dr. M. Sabarimalai Manikandan Amrita Nagar (P.O.), Ettimadai, Coimbatore -641112, Tamilnadu. drawn in favor of AMRITA CEN payable at
Signal Analysis
Mobile: 9843428800/9994329496/9486221489 Coimbatore.
• Software Packages Created @ CEN
E-mail: sispcen@gmail.com