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The systems and communications department at ENST
Signal Processing2 (1980) 295-296 © North-Holland Publishing Company
PRESENTATION OF A E U R O P E A N SIGNAL PROCESSING G R O U P THE SYSTEMS AND COMMUNICATIONS
The National Superior School of Telecommunications in Paris (ENST) belongs to the French "grandes Ecoles" System and depends on the ministry of Telecommunications. As a consequence, it benefits from an activity area of outstanding economical importance and high technical qualification. As a matter of fact, new technologies are stimulating this area very much. The noisy and limited capacity channels are exploited at their maximum by sophisticated treatments. These transmission channels are merged into large scale communication networks where digital techniques are now prevailing. The functions accomplished by the network become more and more complex including new worth while services but also rising man machine communication problems. Innovation in this area can only be expected when grounded on a good acquaintance with fields such as signal, system, information, communication theories . . . . The Systems and Communications Dept. is coordinating this curriculum at ENST but also develops research activities in the general domain of signal processing.
DEPARTMENT
AT ENST
along with an introduction to signals and systems (frequency domain techniques). During the 2nd year more is given on signals and systems (state variable approach). Dectection and modulation theories are then introduced. The attention is finally focussed on estimation, filtering and control using the system and stochastic processes approaches. This year terminates with an emphasis on digital techniques coding, digital communications, digital filtering. The 3rd year is a series of electives along 2 over 4 major lines: • Signal processing (spectral estimation, digital filtering, modeling, identification of signals and systems, pattern recognition, low bit-rate transmission of speech and images...). • Optim&ation of large stochastic systems (non linear filtering, stochastic control, game theory, hierarchical and decentralized systems, queueing theory). • Digital communications (new modulations, egalisation, rythms retrieval, coding, digital networks, hardware implementation). • Languages and Automata (sequential and logic systems, switching, coding, grammars and languages, combinatorics, computational complexity). These courses are open to foreign students as a Certificate of Advanced Studies (CES) in Systems and Communications.
1. Teaching activities
The Department is responsible for covering a fairly large teaching area along the 3 years ENST leading to the engineer degree (5 years after baccalaureat) but it also includes a doctoral program and refreshment courses for engineers of industry and administration. In the first year this corresponds to mathematics, applied math, probability theory and statistics,
2. Research activities
In these fundamental and rapidly evolving fields, research is the necessary support for 295
296
Presentation of a European Signal Processing Group
updating the curriculum continuously. The Systems and Communications Department aims to create or develop new methodologies in the field and confront them with a large variety of applications related to Telecommunications. Four major topics are considered: Stochastic processes and filtering (MM. Korezlioglu, Grojnowski, Maziotto (CNET), Szpirglas (CNET)...). The basic interests are on stochastic processes, non linear filtering, point processes, queuing theory. A special emphasis has been devoted to 2-index processes (Markov properties, Markov chains, 2d-diffusions and point processes). Modelling and signal processing (MM. Gueguen, Grenier, Le Roux, Moreau, Kawas-Kaleh...). From parameter extraction to statistical signal recognition using auto adaptive modelling techniques: a good deal of the recent research effort has been devoted to MA, and A R M A models, spectral distances, non stationary time series, identification of line spectra in noise. Coding and digital transmission (MM. Battail, Cohen, Godlewski, Kawas-Kaleh, Ventre, Charb i t . . . ) including spread spectrum and diversity techniques, soft-decision, replica decoding, mathematical properties of a large variety of codes. Emphasis will be turned on cryptography and finite group transforms. Structural modelling (MM. Miclet, Blanchet, Godlewski, Dupouy, Gaafar . . .). This topic includes modelling logical and switching networks by graph theoretic models, structural pattern recognition and artificial intelligence procedures but also a significant contribution to learning of structural models by grammatical inference. All these fundamental research efforts are combined at the level of applications to digital communications, speech and image processing, bio signals and systems, robotics . . . with for instance: • Implementation of a truncated Viterbi decoder on bit-slice micro-processors for ionospheric channels at 9600 bit-sec. • Real time speech analysis-synthesis system based on LPC for various bit rates. SignalProcessing
• Speech recognition and speaker adaptation for continuous speech and large vocabulary man machine communication. • Image processing, scene analysis, object recognition and localization for industrial robots. The Department welcomes doctoral students for a doctor engineer thesis in Telecommunications (5 theses presented in 79). The research topic usually includes a contribution to a recent theory and a software or hardware implementation as well.
3. Organisation The Department is organized around a teaching and research team including 30 faculties plus technicians. The available tools for both purposes are distributed into two facilities.
Systems and Communications
Laboratories
(Prado et al.) where various communication equipment is gathered at the student's disposal. But, also, an hybrid microcomputer has especially been designed for simulating basic communications and control principles and supporting student projects. Hybrid Computer Centre (MM. Vaysset, Dupouy, N'Guyen, Jeanny . . .). This center is equipped with an hybrid PACER 100 EAI 580 computer surrounded by a large variety of flexible interactive peripherals: color graphic display, digital image memory, speech synthesizer . . . . From this center, using the internal cable TV, real time interactive simulations can be displayed in the lecture rooms to illustrate the major theoretical courses.
The Systems and Communications Department ENST is open to national and international contacts. Exchange of programs has been established with various european universities, exchanges of students and sabbatical stays can be arranged for both teaching and research purposes. For further information, contact: C. Gueguen, Systems and Communications Department, ENST, 46 rue Barrault, 75634 Paris Cedex 13, France
PRESENTATION OF A E U R O P E A N SIGNAL PROCESSING G R O U P THE SYSTEMS AND COMMUNICATIONS
The National Superior School of Telecommunications in Paris (ENST) belongs to the French "grandes Ecoles" System and depends on the ministry of Telecommunications. As a consequence, it benefits from an activity area of outstanding economical importance and high technical qualification. As a matter of fact, new technologies are stimulating this area very much. The noisy and limited capacity channels are exploited at their maximum by sophisticated treatments. These transmission channels are merged into large scale communication networks where digital techniques are now prevailing. The functions accomplished by the network become more and more complex including new worth while services but also rising man machine communication problems. Innovation in this area can only be expected when grounded on a good acquaintance with fields such as signal, system, information, communication theories . . . . The Systems and Communications Dept. is coordinating this curriculum at ENST but also develops research activities in the general domain of signal processing.
DEPARTMENT
AT ENST
along with an introduction to signals and systems (frequency domain techniques). During the 2nd year more is given on signals and systems (state variable approach). Dectection and modulation theories are then introduced. The attention is finally focussed on estimation, filtering and control using the system and stochastic processes approaches. This year terminates with an emphasis on digital techniques coding, digital communications, digital filtering. The 3rd year is a series of electives along 2 over 4 major lines: • Signal processing (spectral estimation, digital filtering, modeling, identification of signals and systems, pattern recognition, low bit-rate transmission of speech and images...). • Optim&ation of large stochastic systems (non linear filtering, stochastic control, game theory, hierarchical and decentralized systems, queueing theory). • Digital communications (new modulations, egalisation, rythms retrieval, coding, digital networks, hardware implementation). • Languages and Automata (sequential and logic systems, switching, coding, grammars and languages, combinatorics, computational complexity). These courses are open to foreign students as a Certificate of Advanced Studies (CES) in Systems and Communications.
1. Teaching activities
The Department is responsible for covering a fairly large teaching area along the 3 years ENST leading to the engineer degree (5 years after baccalaureat) but it also includes a doctoral program and refreshment courses for engineers of industry and administration. In the first year this corresponds to mathematics, applied math, probability theory and statistics,
2. Research activities
In these fundamental and rapidly evolving fields, research is the necessary support for 295
296
Presentation of a European Signal Processing Group
updating the curriculum continuously. The Systems and Communications Department aims to create or develop new methodologies in the field and confront them with a large variety of applications related to Telecommunications. Four major topics are considered: Stochastic processes and filtering (MM. Korezlioglu, Grojnowski, Maziotto (CNET), Szpirglas (CNET)...). The basic interests are on stochastic processes, non linear filtering, point processes, queuing theory. A special emphasis has been devoted to 2-index processes (Markov properties, Markov chains, 2d-diffusions and point processes). Modelling and signal processing (MM. Gueguen, Grenier, Le Roux, Moreau, Kawas-Kaleh...). From parameter extraction to statistical signal recognition using auto adaptive modelling techniques: a good deal of the recent research effort has been devoted to MA, and A R M A models, spectral distances, non stationary time series, identification of line spectra in noise. Coding and digital transmission (MM. Battail, Cohen, Godlewski, Kawas-Kaleh, Ventre, Charb i t . . . ) including spread spectrum and diversity techniques, soft-decision, replica decoding, mathematical properties of a large variety of codes. Emphasis will be turned on cryptography and finite group transforms. Structural modelling (MM. Miclet, Blanchet, Godlewski, Dupouy, Gaafar . . .). This topic includes modelling logical and switching networks by graph theoretic models, structural pattern recognition and artificial intelligence procedures but also a significant contribution to learning of structural models by grammatical inference. All these fundamental research efforts are combined at the level of applications to digital communications, speech and image processing, bio signals and systems, robotics . . . with for instance: • Implementation of a truncated Viterbi decoder on bit-slice micro-processors for ionospheric channels at 9600 bit-sec. • Real time speech analysis-synthesis system based on LPC for various bit rates. SignalProcessing
• Speech recognition and speaker adaptation for continuous speech and large vocabulary man machine communication. • Image processing, scene analysis, object recognition and localization for industrial robots. The Department welcomes doctoral students for a doctor engineer thesis in Telecommunications (5 theses presented in 79). The research topic usually includes a contribution to a recent theory and a software or hardware implementation as well.
3. Organisation The Department is organized around a teaching and research team including 30 faculties plus technicians. The available tools for both purposes are distributed into two facilities.
Systems and Communications
Laboratories
(Prado et al.) where various communication equipment is gathered at the student's disposal. But, also, an hybrid microcomputer has especially been designed for simulating basic communications and control principles and supporting student projects. Hybrid Computer Centre (MM. Vaysset, Dupouy, N'Guyen, Jeanny . . .). This center is equipped with an hybrid PACER 100 EAI 580 computer surrounded by a large variety of flexible interactive peripherals: color graphic display, digital image memory, speech synthesizer . . . . From this center, using the internal cable TV, real time interactive simulations can be displayed in the lecture rooms to illustrate the major theoretical courses.
The Systems and Communications Department ENST is open to national and international contacts. Exchange of programs has been established with various european universities, exchanges of students and sabbatical stays can be arranged for both teaching and research purposes. For further information, contact: C. Gueguen, Systems and Communications Department, ENST, 46 rue Barrault, 75634 Paris Cedex 13, France