Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics

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    Embedded and Ambient Systems

    A tantárgy neve magyarul / Name of the subject in Hungarian: Beágyazott és ambiens rendszerek

    Last updated: 2018. április 27.

    Budapest University of Technology and Economics
    Faculty of Electrical Engineering and Informatics
    Course ID Semester Assessment Credit Tantárgyfélév
    VIMIAC06 5 2/1/0/v 4  
    3. Course coordinator and department Dr. Orosz György,
    Web page of the course https://www.mit.bme.hu/eng/oktatas/targyak/vimiac06/
    4. Instructors Dr. György Orosz, associate professor, BME-MIT
    5. Required knowledge ---
    6. Pre-requisites
    Kötelező:
    (Szakirany("AVINbeagy", _) VAGY
    Szakirany("AVINirrend", _) VAGY
    Szakirany("AVINszgepalrend", _) VAGY
    Szakirany("AVIbeágy", _) VAGY
    Szakirany("AVIirány", _) VAGY
    Szakirany("AVIszgalr", _) VAGY
    Szakirany("VIABV-EMBCS", _) )

    ÉS NEM ( TárgyEredmény( "BMEVIMIA347" , "jegy" , _ ) >= 2
    VAGY
    TárgyEredmény("BMEVIMIA347", "FELVETEL", AktualisFelev()) > 0)

    A fenti forma a Neptun sajátja, ezen technikai okokból nem változtattunk.

    A kötelező előtanulmányi rend az adott szak honlapján és képzési programjában található.

    Ajánlott:
    ---
    7. Objectives, learning outcomes and obtained knowledge

    The aim of the subject is to develop the ability to select components of embedded systems, design the system and integrate the components. This includes selection of communication interfaces and protocols, design of information processing algorithms and software structure.


    8. Synopsis

    Introduction. Building blocks of embedded systems. Requirements and properties. Ambient systems.

    Introduction of a use-case:

    • active noise control (ANC) system with multiple sensors (microphones) and actuators (loudspeakers) on a wireless sensor network. System design.
    • signal processing tasks in the application. Communication and clock synchronization
    • rapid prototyping system, as building block of the ANC.

    Building blocks of embedded system and corresponding tasks

    • analog signal processing, signal conditioning: which tasks to solve in the analog and which in the digital domain?
    • processing units: Microcontrollers, Digital Signal Processors (DSP)
    • reconfigurable architecture: FPGA
    • signal processing: multirate signal processing (decimation, interpolation), filter implementation, spectral analysis. Direct Digital Synthesis (DDS)
    • Design of software architecture, decision considerations. Design for testability, for real-time behavior, for reusability etc.
    • Signal converters (ADC, DAC)
    • Communication within and between embedded systems. Real-time and safety critical systems (FlexRay)
    • Power supply: batteries, filtering, overvoltage and transient protection. Charging characteristics of batteries. Environment and energy aware design.

    System integration:

    • System design. Systematic design methods. Separation of hardware and software functions. Component specification, design of communication, system integration. Design of user interface. Testing, monitoring and diagnosis. 
    • Investigation of a use-case
    9. Method of instruction lectures
    10. Assessment
    1. In the teaching period: midterm exam and homework
    2. In the exam period: written exam

       

    11. Recaps

    Mid-term exam can be once repeated during teaching period.

    Mid-term exam can be once more repeated in repeat period with applicable fees according to Code of Studies and Exams.

    Late homework submission: until the end of repeat period with applicable fees according to Code of Studies and Exams.

    Homework cannot be submitted during exam period.
    12. Consultations On request, upon agreement with the lecturer in advance
    13. References, textbooks and resources

    Robert Oshana, „DSP for Embedded and Real-time Systems”, Elsevier, 2012

    Analog Devices Technical Reference Books, „Practical Design Techniques for Sensor Signal Conditioning”, Analog Devices, 1999.

    Analog Devices Technical Reference Books, „Mixed-Signal and DSP design Techniques”, Analog Devices, 2000
    14. Required learning hours and assignment
    Contact lessons42
    Preparation for lessons 7
    Preparation for exercises
    		 7
    Preparation for mid-term exam  12
    Homework 20
    Preparation for exam
    		 32
    Total 120
    15. Syllabus prepared by
    Name:Position:Department:
    Dr. Tamás Dabóczi
    		associate professor MIT
    Dr. Tamás Kovácsházy
    		associate professor MIT
    Dr. György Orosz
    		associate professor MIT