Workshop on sparse image and signal processing


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Workshop on sparse image and signal processing

  1. 1. About Sparse Theory and Applications Workshop HighlightsThe sparse representation theory states that most natural signals can becompactly expressed as a linear combination of a few elementary signals in some • Introduction to Linear Algebrarepresentation matrix. Therefore, sparse representation has become aninvaluable tool as compared to direct time-domain and transform-domain signal • Importance of Mathematics in Engineeringprocessing methods. Recently, the theory of sparse representation and l1-norm • Signal Transforms (Fourier, DCT, Wavelet) First National Workshop onminimization problem is widely applied in a variety of application areas such as • Optimization Algorithmsaudio/image/video processing tasks (compression, denoising, deblurring,inpainting, and superresolution), speech and object recognition, signal detection • Sparse Theory and Dictionary Learning Sparse Image & Signal Processingand classification, face recognition, array processing, blind source separation, • Compressive Sensing and Imagingtime-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 applicationsdemands a design of an efficient and flexible representation matrix, which isreferred to as dictionary in the sparse theory. The sparse representation from • • 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, 2011and 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 @ • 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: