Sökning: "Sparsity based techniques"

Visar resultat 1 - 5 av 15 avhandlingar innehållade orden Sparsity based techniques.

1. 1. Accurate techniques for 2D electromagnetic scattering

   Författare :Imad Akeab; Sven-Erik Sandström; Alexander Nosich; Linnéuniversitetet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Integral equations; method of moments; sparsity; scaling; shadow boundary; B-S;

   Sammanfattning : This thesis consists of three parts. The first part is an introduction and referencessome recent work on 2D electromagnetic scattering problems at high frequencies. It alsopresents the basic integral equation types for impenetrable objects. A brief discussionof the standard elements of the method of moments is followed by summaries of thepapers. LÄS MER

3. 2. Parameter Estimation and Filtering Using Sparse Modeling

   Författare :Ashkan Panahi; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; sparsity based tracking; Sparsity based techniques; off-grid effect; parameter estimation; continuous basis pursuit; compressed sensing;

   Sammanfattning : Sparsity-based estimation techniques deal with the problem of retrieving a data vector from an undercomplete set of linear observations, when the data vector is known to have few nonzero elements with unknown positions. It is also known as the atomic decomposition problem, and has been carefully studied in the field of compressed sensing. LÄS MER

4. 3. Trust-Based User Profiling

   Författare :Nima Dokoohaki; Mihhail Matskin; Vlad Vlassov; Felix Wu; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; trust; userprofiling; userprofiles; privacy; interest; socialnetwork; recommendersystems;

   Sammanfattning : We have introduced the notion of user profiling with trust, as a solution to theproblem of uncertainty and unmanageable exposure of personal data duringaccess, retrieval and consumption by web applications. Our solution sug-gests explicit modeling of trust and embedding trust metrics and mechanismswithin very fabric of user profiles. LÄS MER

5. 4. Decentralized Learning of Randomization-based Neural Networks

   Författare :Xinyue Liang; Saikat Chatterjee; Mikael Skoglund; Nikolaos Deligiannis; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : Machine learning and artificial intelligence have been wildly explored and developed very fast to adapt to the expanding need for almost every aspect of human development. When stepping into the big data era, siloed data localization has become a big challenge for machine learning. LÄS MER

7. 5. Techniques for Efficient Implementation of FIR and Particle Filtering

   Författare :Syed Asad Alam; Oscar Gustafsson; Kent Palmkvist; Yajun Yu; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; FIR filter; Particle filter; architecture; ASIC; FPGA;

   Sammanfattning : FIR filters occupy a central place many signal processing applications which either alter the shape, frequency or the sampling frequency of the signal. FIR filters are used because of their stability and possibility to have linear-phase but require a high filter order to achieve the same magnitude specifications as compared to IIR filters. LÄS MER