Search for dissertations about: "Error compensation"

Showing result 1 - 5 of 51 swedish dissertations containing the words Error compensation.

  1. 1. Model Error Compensation in ODE and DAE Estimators : with Automotive Engine Applications

    Author : Erik Höckerdal; Erik Frisk; James Peyton-Jones; Linköpings universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Information technology; Informationsteknik; Automatic control; Reglerteknik;

    Abstract : Control and diagnosis of complex systems demand accurate information of the system state to enable efficient control and to detect system malfunction. Physical sensors are expensive and some quantities are hard or even impossible to measure with physical sensors. This has made model-based estimation an attractive alternative. READ MORE

  2. 2. Digital Compensation Techniques for Transmitters inWireless Communications Networks

    Author : Efrain Zenteno; Peter Händel; Magnus Isaksson; Thomas Brazil; KTH; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Digital compensation; MIMO; wireless communications; satellite; Volterra; Amplfiers; HW effects; Informations- och kommunikationsteknik; Information and Communication Technology;

    Abstract : Since they appeared, wireless technologies have deeply transformed our society. Today, wireless internet access and other wireless applications demandincreasingly more traffic. However, the continuous traffic increase can be unbearableand requires rethinking and redesigning the wireless technologies inmany different aspects. READ MORE

  3. 3. On Nonlinear Compensation Techniques for Coherent Fiber-Optical Channel

    Author : Naga Vishnukanth Irukulapati; Chalmers University of Technology; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; performance limits.; nonlinear compensation; factor graphs; fiber-optical communications; near-MAP detector; Digital backpropagation;

    Abstract : Fiber-optical communication systems form the backbone of the internet, enabling global broadband data services. Over the past decades, the demand for high-speed communications has grown exponentially. One of the key techniques for the efficient use of existing bandwidth is the use of higher order modulation formats along with coherent detection. READ MORE

  4. 4. First-Order Algorithms for Communication Efficient Distributed Learning

    Author : Sarit Khirirat; Mikael Johansson; Martin Jaggi; KTH; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Communication efficient learning; Optimization algorithms; Quantization; Error compensation; First-order algorithms; Stochastic gradient descent; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics; Optimeringslära och systemteori; Optimization and Systems Theory; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Technological developments in devices and storages have made large volumes of data collections more accessible than ever. This transformation leads to optimization problems with massive data in both volume and dimension. READ MORE

  5. 5. First-Order Algorithms for Communication Efficient Distributed Learning

    Author : Sarit Khirirat; Mikael Johansson; Tong Zhang; KTH; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Communication efficient learning; Optimization algorithms; Quantization; Error compensation; First-order algorithms; Stochastic gradient descent; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Innovations in numerical optimization, statistics and high performance computing have enabled tremendous advances in machine learning algorithms, fuelling applications from natural language processing to autonomous driving.To deal with increasing data volumes, and to keep the training times of increasingly complex machine learning models reasonable, modern optimization algorithms distribute both data and computations over a large number of machines. READ MORE