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Visar resultat 1 - 5 av 6 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Sparse Approximation of Spatial Channel Model with Dictionary Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Matilda Zhou; [2022]
    Nyckelord :Spatial channel model SCM ; dictionary learning; compressive sensing CS ; discrete Fourier transform DFT ; overcomplete discrete Fourier transform ODFT ; Rumslig kanalmodell; ordbokslärning; kompressionsavkänning; diskret Fourier-transform; överkomplett diskret Fourier-transform;

    Sammanfattning : In large antenna systems, traditional channel estimation is costly and infeasible in some situations. Compressive sensing was proposed to estimate the channel with fewer measurements. Most of the previous work uses a predefined discrete Fourier transform matrix or overcomplete Fourier transform matrix to approximate the channel. LÄS MER

  3. 2. Low dimensional representations of neuronal activity in Parkinson’s disease

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Gustav Röhss; Míriam Vall; [2020]
    Nyckelord :;

    Sammanfattning : This project has been concerned with developing methods for dimensionality reduction and feature extraction of brain activity in the basal ganglia in parkinsonian brains. Dimensionality reduction of local field potential activity was based on feature vectors produced from the discrete Fourier transform of activity. LÄS MER

  4. 3. Development of Stockham Fast Fourier Transform using Data-Centric Parallel Programming

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Gabriel Bengtsson; [2020]
    Nyckelord :;

    Sammanfattning : Writing efficient scientific applications for modern High Performance Computing (HPC) systems has become much harder during the last years due to the rise of heterogeneous computer architectures. The inclusion of hardware accelerators has caused an increase in the number of required technologies to reach high performance, a change that has programming these systems outside the skill-set of a domain scientist. LÄS MER

  5. 4. Sonarbildigenkänningssystem för att röja minor

    Master-uppsats, KTH/Numerisk analys, NA

    Författare :Moa Englund; [2019]
    Nyckelord :;

    Sammanfattning : Det finns ett intresse för att skapa säkra farvägar för militär och civil båttrafik. I svenska vatten ligger det kvar många havsminor från världskrigen som behöver röjas för att kunna skapa dessa vägar. LÄS MER

  7. 5. Combining Acoustic Echo Cancellation and Voice Activity Detection in Social Robotics

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Anton Fahlgren; [2019]
    Nyckelord :;

    Sammanfattning : This thesis is partly a theoretical introduction to some basic concepts of signal processing such as the Fourier transform, linear time invariant systems and spectral analysis of random signals, both in the continuous and discrete setting. A second part is devoted to theory and applications of echo cancellation and voice activity detection in so called social robotics. LÄS MER