Special sessions

The WOSSPA 2013 organising committee invites proposals for special sessions to held at  8th International Workshop on Systems, Signal Processing and their Applications (WOSSPA), on 12-15 May, 2013 in Zeralda, Algeria.

Special sessions will highlight specific topics within the broad fields of
signals and system processing.  The sessions are intended to offer sufficient time to focus on a particular topic with more depth than the regular workshop sessions.

We suggest proposals in new and emerging topics, or topics that are generating considerable attention in the signal and system processing community. The sessions must be
within the broad scope of signal and system processing or related applications.


We invite prospective authors to submit full-length papers to this special session of the 8th International Workshop on Systems, Signal Processing and their Applications (WOSSPA), on 12-15 May, 2013 in Zeralda, Algeria. Formatting instructions and the author-kit are available through the submissions page on the workshop website http://www.wosspa2013.org/.


All papers will be peer reviewed and accepted papers will appear in the IEEE Xplore(R) database. Authors of accepted papers are expected to register and present their papers at the workshop.

Important dates
Full Paper Submission: January 21,2013 --> February 15, 2013
Notification of Acceptance: February 28, 2013
Final Accepted Paper Submission: March 31, 2013

Proposals can be submitted to the special session chairs:
- Dr. John O'Toole (email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it )
- Dr. Graeme Jones (email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it )

1- Special Session on "Advances in time-frequency signal processing for biomedical applications"

Chairs:   Dr. John O' Toole, University of Deusto, Spain. 

Most biomedical signals are nonstationary. Unlike classical methods, time-frequency methods can analyse a signal's nonstationary characteristics. Recently, there has been much interest and success in developing time-frequency  methods for biomedical signals.  The aim of this special session is to highlight aspects from this progress.

We are seeking submissions for the special session in areas related to the development of time-frequency methods applied to biomedical signals. Biomedical signals represent any physiological measurement, including electro-magnetic physiological measurements, such as EEG or EMG; acoustic physiological measures, such as heart or lung sounds; movement measurements, such as gait analysis; imaging measuresments, such as ultrasound or MRI; and many more.

2- Special Session on "New Approaches and Applications in Radar and Sonar Signal Processing, and Antenna Technology"

Chair:  Graeme Jones (Accipiter Radar Technologies Inc., Canada)

The ready availability of cheap and powerful Commercial Off-The-Shelf (COTS) hardware for industry has allowed the implementation of algorithms and processing strategies in the service of real-world problems that would have been impossible or expensive just a few years ago. Fields such as radar and sonar, which typically deal with high bandwidth data, have benefitted immensely from the availability of powerful yet cost-effective digitizers and cheap data storage.

In addition to the developments in digital hardware and signal processing techniques, further improvements and enhancements can be achieved by working on the interface between the system and the air, i.e. the antenna. As a result, the advances achieved in the last few years in the antenna field can also be exploited to push radar performance even further.

We are seeking submissions for this special session in areas related to both the development and deployment of new or novel processing techniques for radar and sonar signals, and advanced antenna design and technology. Topics would include, but not be limited to, sampling, clutter and interference rejection, detection, tracking, fusion, image processing, data mining, multi-sensor integration, knowledge-based systems, anti-jamming, antennas, beam and array processing, and communications.

3- Special Session on "Advances in Signal, Image and Video Processing for Analyzing Humans and Their Behaviors"

 Chairs:  Abdenour Hadid (University of Oulu, Finland) and Najim Dehak (MIT, USA)

Analysis of humans and their behaviors play a key role inmany emerging applications including video surveillance, biometric recognition, affective human-computer interfaces and Kinect-based applications. This special issue invites authors to contribute with original articles dealing with the analysis of physical and behavioral human characteristics in real-world and challenging settings for future intelligent environments. For instance, a future smart environment should be able to determine whether a person is known or unknown (biometric recognition), a man or a woman (gender recognition), a child or an adult (age estimation), where is he looking at (gaze and pose estimation), is he a native or foreigner (ethnicity classification), what is he doing (behavior and activity analysis), what is his emotional state (emotion and facial expression analysis), is he standing or sitting (action recognition), does he look tired, bored, depressed, and all other kinds of information that allow the environment to adapt to the activities and to provide desired responses to relevant events.

The topics of interest for this special issue include, but are not limited to:Biometrics (e.g. face, voice, fingerprint, signature, gait, novel biometric modalities, multimodal systems, fusion techniques etc.), video surveillance (e.g. human detection and tracking, activity and action recognition, multi-camera systems, etc.), human-machine interaction (emotion and facial expression recognition, gender recognition, age estimation, Kinect applications, etc.),embedded systems for human analysis etc.

4- Special Session on "Pattern Recognition, Biometrics, and Machine Learning"

Chairs: Mohamed Cheriet (University of Quebec, ETS : Canada), Kurban Ubul (Xinjiang University : China), and Reza Farrahi Moghaddam (University of Quebec, ETS : Canada)

Pattern recognition and machine learning are two fundamental and essential subfields of artificial intelligence, especially in understanding of highly complex systems and behaviors. In particular, pattern analysis and modeling of human related problems, including human-machine interactions, has attracted a large number of researchers to develop applied models, methods, algorithms, and datasets in order to address these problems and challenges.

An emerging and interesting application field of pattern recognition and machine learning is biometrics. Securing human societies and protecting properties of individuals against continuously growing threats is a great motivation for biometrics. Emerging of new ways of interaction among human beings, and in particular emergence of electronic identity, has pushed the need and also challenges of biometrics to another level. At the same time, in order to have a seamless interaction between machines and human beings, machines are required to be able to understand human actions by analyzing their multi-sensory signals.

The special sessions on Pattern Recognition, Biometrics, and Machine Learning in WOSSPA’13 aims to attract and gather leading research groups around the world to present and discuss the latest state-of-the-art development along three axes of Pattern Recognition, Biometrics, and Machine Learning. The special session welcomes all contributions in the full spectrum from feature extraction to context awareness, from novel Support Vector Machines (SVM) to data mining, and from fingerprint authentication to infrared face recognition. Contributions on supervised learning, unsupervised learning, semi-supervised learning, active learning, ensemble learning, manifold learning, classification, clustering, among others, are welcomed. Also, applied contributions in areas such as forensics, multi-biometrics, speech recognition, handwriting recognition, and heritage manuscripts preservation are encouraged.

5- Special Session on "Advanced topics in blind source separation "

Chairs:Karim Abed-Meraim (Orleans Univ, France), and Yannick Deville (Université Paul Sabatier, France)

This special session addresses recent developments and topics beyond mainstream concepts related to the blind source separation (BSS) problem.  Topics of interest include:

  • Sparse component analysis
  • Dependent component analysis
  • Nonnegative matrix or tensor factorization
  • Informed source separation
  • Multi-modal source separation
  • Advances in independent component analysis
  • Source separation for nonlinear models
  • Underdetermined source separation
  • Bayesian approaches for source separation
  • BSS applications

6- Special Session on "Advances in Variational method for image processing and computer vision applications "
Chairs:   Prof J.P. Thiran  (EPFL, suisse), and Prof A. Taleb-Ahmed (University of Valenciennes, France)

Variational methods have proven to be powerful techniques for solving many image processing tasks. Balancing theory with practical approaches,this session proposed to present a   wide range of variational methods and their applications.
Variational methods have been used to solve a multitude of problems arising in computer vision and image processing: optic flow estimation, image segmentation and 3D reconstruction. They are build on a nice theoretical framework, originally based on partial differential equations but recently exploited by other powerful techniques like convex minimization, and have easy numerical implementations.
The topics of interest for this special issue include, image processing, ie, segmentation, surface reconstruction, inpainting, smoothing, debluring, etc...

7- Special Session on "Cognitive radio and heterogeneous networks"

Chairs:Abdeldjalil Aïssa-El-Bey (Telecom-bretagne, France)

The wireless communication networks are facing the problem of spectrum scarcity.

Cognitive radio seems to be the key solution to this problem by shifting from the conventional exclusive use of frequency resources to the flexible frequency utilization. However, since it has been first proposed by Mitola, the cognitive radio has been extended to solve various problems in wireless communications, but also to improve the QoS. For example, by taking benefits from the heterogeneity of the radio environment, one can think to develop cognitive terminals able to sense their environment, in order to find the network able to offer them the best QoS around. When trying to maintain its QoS a cognitive device has to optimize its energy consumption, its electromagnetic radiation level, ..., by performing such a task this device is acting as a green cognitive radio.

In this special session we are seeking original papers in the topic of spectrum sensing, wireless systems identification, Vertical Handover, Green cognitive radio, Cooperative and coordinated multiuser communications, Self-organized networks, Architecture and Implementations, Beam-forming and MIMO for interference avoidance in the Cognitive Radio context, Game theoretical analysis for Cognitive Radio. Any other topic related to cognitive radio is highly encouraged.

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