Signal processing and its applications

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Signal processing and its applications

Make the most of the signal to extract useful information

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To understand the fundamental techniques of signal analysis and data processing
Signal processing is a fundamental discipline which aims to manipulate, analyze and interpret signals in order to improve their quality, extract useful information or perform specific transformations. It is widely used in fields such as telecommunications, digital audio and video, and virtual reality, helping to improve signal transmission, perception and exploitation

Signal processing: theoretical foundations

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Radiolocation

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Capturing and reproducing images

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Capturing and reproducing sounds

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High-definition television HDTV

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Broadcast and distribution of images and sounds

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Digital media formats

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Digital media management

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Virtual reality

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[Archives] Signal processing and its applications

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The latest publications in this offer are:

  • TE6712
    Electromagnetic stealth

    The history of stealth is fairly recent but has experienced a significant development over the past decades leading to the creation of several generations of stealth aircrafts and notably the Lockheed F22 and the F22 Raptor.Stealth aircrafts are conceived in order to deflect or absorb waves and send back to the radar a very attenuated signal. Stealth is based upon several basic principles linked to existing electromagnetic phenomena. The radar equivalent surface of the object must be reduced to the minimum so that it is detected by radars as late as possible.The design of a stealth aircraft is subjected to rules in terms of shape, cavities and choice of absorbing materials. Since these developments, stealth has been successfully applied to missiles, drones and warships.

  • TE5975 Reviewed
    Virtual and mixed reality for learning and training

    Scientific and technological advances in the field of virtual reality make it possible to create, evaluate, and disseminate interactive and immersive applications at low cost. Whether to simulate real-life situations and/or to enhance human capabilities, virtual reality is used currently in several fields. This article covers in particular its use in learning and training. It Starts with an introduction to virtual reality and the advantages of its use. Then, it presents how virtual learning environments are designed, and concludes with a study of concrete use cases.

  • TE5958 Reviewed
    Virtual Reality at the Service of people’s Autonomy

    Since the 1990s, virtual reality technologies, and those associated with them, have penetrated the world of health and disability for various purposes such as understanding the human being, caring for him, enabling him to develop or recover capacities, helping him, to enable him to regain as much autonomy as possible. The interest shown in them results from the innovative and effective paradigms they allow to implement, the impact that virtual experiences have on mankind, the attractiveness they generate for different users, but also from the current facilitation of their access. This approach is particularly and specifically beneficial in psychotherapy and in cognitive and sensorimotor rehabilitation.

  • H9574
    Intelligent predictive maintenance and industry 5.0: AI

    This article describes the concepts of intelligent predictive maintenance in Industry 5.0. It begins by presenting the paradigm shift between Industry 4.0 and Industry 5.0, initiated in 2020 by the European Commission to emphasize human-centered approaches, sustainability, and resilience. The methods and tools related to the prediction of the remaining useful life (RUL) of equipment are described in detail. It identifies the contributions of AI, conversational agents, and the metaverse to predictive maintenance. Finally, it provides an overview of the applications in the industry, highlighting their advantages and disadvantages, particularly from an ethical standpoint.

  • RE197
    Preventing the risks associated with using connected glasses while walking

    Connected Glasses are augmented reality devices that enable hands-free remote communication. This technology, which is still emerging in the workplace, raises questions about the risk of accidents when employees are walking while wearing connected glasses. An experimental study was carried out to analyse gait parameters. Significant disruptions to walking were observed under different conditions of use of several connected glasses’ models. These results lead us to issue a number of warnings to ensure user safety and are the focus of this article.

  • TE5897 Reviewed
    Digital Media and Artificial Intelligence (AI): Applications for sounds and pictures

    Artificial intelligence (AI) has experienced accelerated growth in the digital media field since the 2015s. This article first provides a reminder of the principles, components and techniques of artificial intelligence, in particular machine learning, and deep learning with neural networks. It then proposes a sample of AI applications developed in the field of images in photography, for old films, and in video. In the field of sounds, the article presents some examples related to the automatic processing of speech, 3D audio and music.

  • BR1100 Reviewed
    Introduction to auditorium acoustics

    Room acoustics is one of the areas of acoustics that attracts most interest from the public and from acousticians themselves. It differs from most other fields of acoustics in that sound is considered in its positive aspect: communication, culture, music, whereas in many fields of acoustics it is considered in its negative aspect, i.e. noise that causes discomfort, which unfortunately it often does. We like to associate room acoustics with a long-practiced art form, sometimes shrouded in a certain mystery, as evidenced by the myth of ancient theater acoustics, which some acousticians keep alive.

  • BR1014 Reviewed
    Methodological guide for the acoustic study of rooms. Linearized approach

    Unlike other studies carried out in this field, the study of the acoustics of rooms cannot be mathematically modelled in order to describe the propagation of sound. This article presents the linearization process of a complex set of variables, which, unlike in traditional models, does not involve prioritization or traditional parameterization. It includes a methodological scheme involving six proposals concerning the virtual distribution of sources, the search for a compromise criterion between clarity and homogeneity, the choice of a frequency band, the determination of the opening angle of sources and the delineation of the listening plane. The implementation of the model is analyzed in the case where sources are predetermined and in the case where only the site is known.

  • BR1012 Reviewed
    Methodological guide for the acoustic study of rooms. Approach by models

    The acoustic study of a room is carried out via an approach by models. This does not only involve acoustic knowledge. In this article, this approach is illustrated by three examples. The first one, a simple optimization attempt based on a traditional model, is an intermediary stage between the systematic approach and the linearized approach. The second one, based on a simple comparison of two calculation formulae of a reverberation length, is a typical bifurcation scheme involved in most models. The third example illustrates how the failure of a traditional model can be addressed in order to achieve suitable adequacy between measurements and predicted values.

  • BR1010 Reviewed
    A methodological guide for the study of room acoustics - Systematic approach

    Room acoustics is a discipline which requires the implementation of multiple areas of knowledge, by a number of condition variables on a given configuration. This article provides a detailed and systematic approach. After an advanced study on possible difficulties (major defects, coupling, etc.) as well as the calculation of the duration of reverberation and sound levels, the article moves on to the systematic measurement phase before returning to the core issue which is modeling. The fourth phase includes the accomplishments of the project making comparison between the prevision and the actual values and validation of the models. The final phase looks at the opportunities of publishing the results.

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