Sökning: "Electrical Engineering with specialization in Signal Processing"

Visar resultat 16 - 20 av 34 avhandlingar innehållade orden Electrical Engineering with specialization in Signal Processing.

  1. 16. Spectral Analysis of Nonuniformly Sampled Data and Applications

    Författare :Prabhu Babu; Peter Stoica; Fredrik Gustafsson; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Spectral analysis; array processing; nonuniform sampling; sparse parameter estimation; direction of arrival DOA estimation; covariance fitting; sinusoidal parameter estimation; maximum-likelihood; non-parametric approach; exoplanet detection; radial velocity technique; Sudoku; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Sammanfattning : Signal acquisition, signal reconstruction and analysis of spectrum of the signal are the three most important steps in signal processing and they are found in almost all of the modern day hardware. In most of the signal processing hardware, the signal of interest is sampled at uniform intervals satisfying some conditions like Nyquist rate. LÄS MER

  3. 17. Distributed Detection and Its Applications with Energy Harvesting Wireless Networks

    Författare :Sinchan Biswas; Subhrakanti Dey; Steffi Knorn; Anders Ahlen; Pierluigi Salvo Rossi; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Energy harvesting; Wireless Sensor Networks; Distributed Detection; Cognitive Radio Networks; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Sammanfattning : With the advent and widespread applications of high data-rate wireless services and devices, two of the fundamental resources in wireless communication have become extremely important and are scarce. These two resources are bandwidth and energy respectively. LÄS MER

  4. 18. On two methods for identifying dynamic errors-in-variables systems

    Författare :Mei Hong; Torsten Söderström; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Sammanfattning : Identification of dynamic errors-in-variables systems, where both inputs and outputs are affected by errors (measurement noises), is a fundamental problem of great interest in many areas, such as process control, econometrics, astronomical data reduction, image processing, etc. This field has received increased attention within several decades. LÄS MER

  5. 19. Design Aspects of Coordinated Multipoint Transmission : A Study of Channel Predictions, Resource Allocation, User Grouping and Robust Linear Precoding for Coherent Joint Transmission

    Författare :Rikke Apelfröjd; Mikael Sternad; Anders Ahlén; Antti Tölli; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Network MIMO; Centralized CoMP; Robust beamforming with imperfect CSI; Limited backhaul; Linear predictions of OFDM channels; Kalman filters; Predictor antennas; Long term channel prediction; Local resource allocation and user grouping; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Sammanfattning : Shadowed areas and interference at cell borders pose great challenges for future wireless broadband systems. Coordinated Multipoint (CoMP) coherent joint transmission has shown the potential to overcome these challenges by turning harmful interference into useful signal power. LÄS MER

  7. 20. Machine learning with state-space models, Gaussian processes and Monte Carlo methods

    Författare :Andreas Svensson; Thomas B. Schön; Fredrik Lindsten; Carl Edward Rasmussen; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Machine learning; State-space models; Gaussian processes; Elektroteknik med inriktning mot reglerteknik; Electrical Engineering with specialization in Automatic Control;

    Sammanfattning : Numbers are present everywhere, and when they are collected and recorded we refer to them as data. Machine learning is the science of learning mathematical models from data. Such models, once learned from data, can be used to draw conclusions, understand behavior, predict future evolution, and make decisions. LÄS MER