Search for dissertations about: "Solution processing"

Showing result 1 - 5 of 321 swedish dissertations containing the words Solution processing.

  1. 1. Parameter Estimation for Multisensor Signal Processing Reduced Rank Regression, Array Processing and MIMO Communications

    University dissertation from Stockholm : KTH

    Author : Karl Werner; KTH.; [2007]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TECHNOLOGY Information technology Signal processing; TEKNIKVETENSKAP Informationsteknik Signalbehandling;

    Abstract : This thesis deals with three estimation problems motivated by spatial signal processing using arrays of sensors. All three problems are approached using tools from estimation theory, including asymptotical analysis of performance and Cramér-Rao lower bound; Monte Carlo methods are used to evaluate small sample performance. READ MORE

  2. 2. Estimation Problems in Array Signal Processing, System Identification, and Radar Imagery

    University dissertation from Uppsala : Acta Universitatis Upsaliensis

    Author : Richard Abrahamsson; Uppsala universitet.; Uppsala universitet.; [2006]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Parameter Estimation; Array Signal Processing; STAP; SAR; Ground Penetrating Radar; System Identification; Bilinear Models; Covariance Matrix Estimation; TECHNOLOGY Information technology Signal processing; TEKNIKVETENSKAP Informationsteknik Signalbehandling; Signal Processing; Signalbehandling;

    Abstract : This thesis is concerned with parameter estimation, signal processing, and applications.In the first part, imaging using radar is considered. More specifically, two methods are presented for estimation and removal of ground-surface reflections in ground penetrating radar which otherwise hinder reliable detection of shallowly buried landmines. READ MORE

  3. 3. Sparse Modeling of Harmonic Signals

    University dissertation from Lund University / Centre for Mathematical Sciences /LTH

    Author : Filip Elvander; Lunds universitet.; Lund University.; Lund University.; [2017]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; multi-pitch estimation; sparse modeling; convex optimisation; inharmonicity; sparse recursive least squares; adaptive signal processing; optimal transport distance;

    Abstract : This thesis considers sparse modeling and estimation of multi-pitch signals, i.e., signals whose frequency content can be described by superpositions of harmonic, or close-to-harmonic, structures, characterized by a set of fundamental frequencies. READ MORE

  4. 4. Signal processing applied to acoustic distance estimation and sound classification

    University dissertation from Luleå : Luleå tekniska universitet

    Author : Lennart Olsson; [1993]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Signalbehandling; Signal Processing;

    Abstract : The thesis treats some signal processing applications to retrieval of information from acoustic measurements. In the distance estimation applications (parts AI, A2, B and C) an acoustic signal propagates through a physical system and is modified according to some system parameter. READ MORE

  5. 5. Multiple Model Filtering and Data Association with Application to Ground Target Tracking

    University dissertation from Chalmers University of Technology

    Author : Daniel Svensson; Chalmers tekniska högskola.; Chalmers University of Technology.; [2008]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Matematisk statistik; Mathematical statistics; Signalbehandling; Signal processing; Multiple model filtering; state estimation; target tracking; IMM; semi-Markov processes; Kalman filtering; multi-target tracking; MHT; random finite sets; FISST; PHD; CPHD; performance evaluation; OSPA; ground target tracking;

    Abstract : This thesis is concerned with two central parts of a tracking system, namely multiple-model filtering and data association. Multiple models are introduced to provide accurate filtering, whereas data association deals with the unknown origin of the received measurements. READ MORE