Sökning: "Brusreducering"

Visar resultat 11 - 15 av 26 uppsatser innehållade ordet Brusreducering.

  1. 11. Online Secondary Path Modelling for Spatial Active Noise Control with Arbitrarily Spaced Arrays

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

    Författare :Jesper Brunnström; [2021]
    Nyckelord :Active noise control; Secondary path modelling; Spatial; Adaptive filter; Multichannel; Least mean squares; Aktiv brusreducering; Sekundärvägsmodellering; Spatial; Adaptiv Filtrering; Multikanal; Minsta kvadratmetoden;

    Sammanfattning : In this work we explore online secondary path modelling (SPM) in the context of spatial active noise control (ANC). Specifically, we are interested in the reduction of broadband noise over a three-dimensional region, without restrictions on microphone and loudspeaker array placement. LÄS MER

  3. 12. The effect of noise filters on DVS event streams : Examining background activity filters on neuromorphic event streams

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

    Författare :Giorgos Trogadas; Larissa Ekonoja; [2021]
    Nyckelord :Dynamic vision sensor; Noise reduction; Filter performance evaluation; Histogram of Averaged Time Surfaces; Neuromorphic vision; Event-based vision; Dynamisk synsensor; Brusreducering; Utvärdering av filter prestanda; Histogram av genomsnittliga tidsytor; Neuromorfisk synsensor; Händelsebaserad syn;

    Sammanfattning : Image classification using data from neuromorphic vision sensors is a challenging task that affects the use of dynamic vision sensor cameras in real- world environments. One impeding factor is noise in the neuromorphic event stream, which is often generated by the dynamic vision sensors themselves. LÄS MER

  4. 13. Noise Reduction of Scintillation Camera Images Using UNET: A Monte Carlo Simulation Approach

    Master-uppsats, Lunds universitet/Sjukhusfysikerutbildningen

    Författare :Johanna Korpijärvi; [2021]
    Nyckelord :Medicine and Health Sciences;

    Sammanfattning : Background The project aims to reduce the noise in planar 111-In projections with a machine learning model. Method Sixteen base phantoms were used to create 696 phantoms in XCAT. An anterior planar projection was simulated with 111-In and ten uptake curves for each phantom in SIMIND. LÄS MER

  5. 14. Using a denoising autoencoder for localization : Denoising cellular-based wireless localization data

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

    Författare :Alexander Danielsson; Edvard von Pfaler; [2021]
    Nyckelord :Autoencoder; Noise reduction; Neural network; Denoising autoencoder; Positioning data; Autoencoder; Brusreducering; Neurala nätverk; Brusreducerande autoencoder;

    Sammanfattning : A denoising autoencoder is a type of neural network which excels at removingnoise from noisy input data. In this project, a denoising autoencoder isoptimized for removing noise from mobile positioning data. The mobilepositioning data with noise is generated specifically for this project. LÄS MER

  7. 15. Deep Learning for PET Imaging : From Denoising to Learned Primal-Dual Reconstruction

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Alessandro Guazzo; [2020]
    Nyckelord :PET Deep Learning Reconstruction Denoising;

    Sammanfattning : PET imaging is a key tool in the fight against cancer. One of the main issues of PET imaging is the high level of noise that characterizes the reconstructed image, during this project we implemented several algorithms with the aim of improving the reconstruction of PET images exploiting the power of Neural Networks. LÄS MER