> Important Dates
Special session proposal deadline: August 30, 2013
Special session notification: September 13, 2013
Paper submission extended deadline: October 13, 2013
Paper acceptance notification (Postponed): November 15, 2013
Camera-ready submission extended deadline: December 20, 2013
Early-bird registration extended deadline: December 20, 2013
Conference dates: March 19-21, 2014






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About The International Conference On Digital Signal Processing

The International Conference On Digital Signal Processing will provide parallel sessions with contributed papers on the related topics as follows: Image and Video Processing, Audio and Speech Processing, Pattern Recognition, Biomedical Signal Processing, Computer Vision and Pattern Recognition, Adaptive Signal Processing, Machine Learning for Signal Processing, etc.


Technical Conference Chairs
Assoc. Prof. Dr. Sanya Mitaim
Thammasat University, Thailand

Sanya Mitaim received the B.Eng. degreein control engineering from King Mongkut’s Instituteof Technology Ladkrabang, Bangkok, Thailand, and the M.S. and Ph.D. degrees in electrical engineering from the University of Southern California, Los Angeles, USA.  He is an Associate Professor in the Departmentof Electrical and Computer Engineering, Faculty of Engineering, Thammasat University, Pathumthani, Thailand. His research interests include neural andfuzzy techniques in nonlinear signal processing and noise processing


Invited Speakers
Assoc. Prof. Dr. Rachu Punchalard
Mahanakorn University of Technology (MUT), Thailand

Title : Frequency estimation and tracking based on adaptive filter

Abstract :
     The estimation of the frequency of a complex exponential in additive white Gaussian noise (AWGN) is a fundamental and well-studied problem in signal processing and communications. Its numerous applications include carrier recovery in a communication system, determination of the object position in radar and sonar systems, estimation of the heart rate of a fetus in biomedicine, and carrier synchronization in a distributed beamforming system. This paper focuses on a frequency estimation and tracking based on adaptive filter. A novel arctangent (AT) based adaptive algorithm for adapting the frequency parameter of a first-order complex adaptive IIR notch filter for frequency estimation and tracking is discussed. Extensive studies based on computer simulation are provided to show the performance of the proposed algorithm.

Rachu Punchalard graduated with B. Ind. Tech. (Telecommunication) and M. Eng (Electrical Engineering) from King Mongkut’s Institute of Technology Ladkrabang (KMITL), in 1997 and 2000, respectively. He received his D.Eng (Telecommunication Engineering) from Mahanakorn University of Technology (MUT), in 2007. Currently, he is a lecture at department of telecommunication engineering, Mahanakorn University of Technology, Bangkok, Thailand. His research interests include digital signal processing and communication systems. He published his research papers on several international journals and conferences.


Assoc. Prof. Dr. Nipon Theera-Umpon
Chiang Mai University, Thailand

Title : Blood Cell Shape Representation Using Morphological Granulometries

Nipon Theera-Umpon received his B.Eng. (Hons.) degree from Chiang Mai University, M.S. degree from the University of Southern California, and Ph.D. degree from the University of Missouri-Columbia, all in Electrical Engineering. His has been with the Department of Electrical Engineering, Chiang Mai University since 1993. He had been a Visiting Scholar at the University of Missouri Columbia (2000-20001) and Kagawa University, Japan (2004). He has served as Editor, Associate Editor, Peer Reviewer, General Chair, Technical Chair and Committee Member of several journals and conferences. He served as Associate Dean of Engineering at the Faculty of Engineering, Chiang Mai University from 2005-2009 and as the Chairman for Graduate Study in Electrical Engineering from 2004-2007. He is presently serving as the Director of Biomedical Engineering Center, and the Chairman for Graduate Study in Biomedical Engineering, Chiang Mai University. He is a member of Thai Robotics Society, Biomedical Engineering Society of Thailand, Council of Engineers in Thailand. He has served as Vice President of the Thai Engineering in Medicine and Biology Society. Dr. Theera-Umpon is a senior member of the IEEE since 2006. His research interests include Pattern Recognition, Digital Image Processing, Neural Networks, Fuzzy Logic, Medical Signal and Image Processing.


Assoc. Prof. Dr. Peerapol Yuvapoositanon
Mahanakorn University of Technology (MUT), Thailand

Title : Fast Computation of Look-Ahead Rao-Blackwellised Particle Filter in SLAM

Peerapol Yuvapoositanon received a B.Eng in Electronics from King Mongkut’s Institute of Technology Ladkrabang in 1990. He was awarded a PhD in Signal Processing for Wireless Communications by Imperial College, University of London, UK, in 2002. He has been working in the Faculty of Engineering at Mahanakorn University of Technology, Bangkok, Thailand for more than 20 years where he is currently an associate professor in the Department of Electronic Engineering. He has been involved in a large number of industrial consulting projects and has also served as a research grant committee in an academic institution. His research interests include several aspects regarding signal processing theory and applications e.g., estimation in wireless communications, parameters estimation in fault diagnosis applications, mobile robotics localization and mapping and machine learning theory. Recently his research direction is steered towards to the estimation of non-Gaussian, non-stationary financial time series as frequently encountered in the monetary market.


Asst. Prof. Dr. Yodchanan Wongsawat
Mahidol University, Thailand

Title : Trends on BCI-based Neurofeedback Device for Physical and Mental Rehabilitations

YodchananWongsawat received the B.Eng. degree from Sirindhorn International Institute of Technology (SIIT), Thammasat University, Thailand, in 2001, the M.S. and Ph.D. degrees from the University of Texas at Arlington, USA, in 2003 and 2007, respectively, all in electrical engineering. In May 2008, he joined the Department of Biomedical Engineering, Mahidol University, Thailand, where he is currently an assistant professor, department vice chair, and lab director of the Brain- Computer Interface Laboratory. With his contribution in brain-computer interface for assistive technology and rehabilitation, he has received the 2013 Mahidol University distinguished academic career award. His current research interests include brain-computer interface (BCI), biomedical signal processing, time-frequency analysis, and genomic signal processing.


Asst. Prof. Dr. Vorapoj Patanavijit
Assumption University, Thailand

Title : An introduction to Compressive Sensing for Digital Signal Reconstruction and its implementation on Digital Image Reconstruction

Abstract :
     Shannon/Nyquist theorem underlies most of the algorithms in signal processing and data acquisition in such a way that the required sampling rate is at least 2 times the frequency of the signal. However there are many cases in which most of the information covers at some particular components while the rest is worthless. Therefore it is very useful if those significant components can be directly collected instead of wasting bandwidth for the unnecessary ones. Compressive Sensing (CS) is an algorithm that minimizes the sampling rate of the signals while still retaining the necessary information for the reconstruction process. It bypasses the current algorithms in which large amount of data is collected and then remove in a consequent compression step. Every CS algorithms are the combination of random kernels and non parametric estimation techniques. In general, the reconstruction framework estimates an under determined linear system of solutions with an unknown compressible or sparse signals. CS is applied broadly and becoming a novel algorithm in signal processing including: Channel Coding, Inverse Problem, Data Compression, Data Acquisition and in some fields where hardware has limitation.

Vorapoj Patanavijit received the B.Eng., M.Eng. and Ph.D. degrees from the Department of Electrical Engineering at the Chulalongkorn University, Bangkok, Thailand, in 1994, 1997 and 2007 respectively. He has served as a full-time lecturer at Department of Computer and Network Engineering, Faculty of Engineering, Assumption University since 1998 where he is currently an Assistance Professor in 2009. He has authored and co-authored over 85 national/international peer-reviewed publications in Digital Signal Processing (DSP) and Digital Image Processing (DIP). He has participated in more than 5 projects and research programmed funded by public and private organizations. He works in the field of signal processing and multidimensional signal processing, specializing, in particular, on Image/Video Reconstruction, SRR (Super-Resolution Reconstruction), Compressive Sensing, Enhancement, Fusion, Denoising, Inverse Problems, Motion Estimation and Registration.


Special Sessions
To be announced.



 

iEECON2014 International Electrical Engineering Congress 2014 Pattaya City, Thailand, March 19-21, 2014
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