Sökning: "least mean algorithm LMS"

Visar resultat 1 - 5 av 19 uppsatser innehållade orden least mean algorithm LMS.

  1. 1. Contribution to the Understanding of the Effects of Propagation through the Ionosphere of P-band SAR Data

    Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Johannes Samuel Erland Rönner; [2023]
    Nyckelord :Synthetic aperture radar; Ionosphere;

    Sammanfattning : The BIOMASS mission from the European Space Agency (ESA) is designed to measurebiomass and carbon content in Earth’s forests. To account for phase changes caused byionospheric variations, a map-drift autofocus algorithm is developed, which utilises a phasescreen of the ionosphere to eliminate phase errors in the signal. LÄS MER

  3. 2. A Blind Constellation Agnostic VAE Channel Equalizer and Non Data-Assisted Synchronization

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Fredrik Reinholdsen; [2021]
    Nyckelord :Blind; Equalization; Machine Learning; Variational; Autoencoder; VAE; Constellation; Agnostic; Synchronization; Neural; Networks;

    Sammanfattning : High performance and high bandwidth wireless digital communication underlies much of modern society. Due to its high value to society, new and improved digital communication technologies, allowing even higher speeds, better coverage, and lower latency are constantly being developed. LÄS MER

  4. 3. Implementation of adaptive filtering algorithms for noise cancellation

    Master-uppsats, Högskolan i Gävle/Avdelningen för elektroteknik, matematik och naturvetenskap

    Författare :Tanja Lampl; [2020]
    Nyckelord :;

    Sammanfattning : This paper deals with the implementation and performance evaluation of adaptive filtering algorithms for noise cancellation without reference signal. Noise cancellation is a technique of estimating a desired signal from a noise-corrupted observation. LÄS MER

  5. 4. Towards reducing bandwidth consumption in publish/subscribe systems

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

    Författare :Yifan Ye; [2020]
    Nyckelord :pub sub; 5G; MEC; data reduction; IoT.; pub sub; 5G; MEC; datareduktion; IoT.;

    Sammanfattning : Efficient data collection is one of the key research areas for 5G and beyond, since it can reduce the network burden of transferring massive data for various data analytics and machine learning applications. Specifically, 5G offers great support for massive deployment of IoT devices, and the number of IoT devices is exploding. LÄS MER

  7. 5. Learning Model Predictive Control for Autonomous Racing : Improvements and Model Variation in Model Based Controller

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

    Författare :Shuqi Xu; [2018]
    Nyckelord :Model Predictive Control; Autonomous Racing; Learning; System Identification; modell prediktiv kontroll; autonom racing; inlärning; systemidentifierings;

    Sammanfattning : In this work, an improved Learning Model Predictive Control (LMPC)architecture for autonomous racing is presented. The controller is referencefree and is able to improve lap time by learning from history data of previouslaps. LÄS MER