Sökning: "phone call"

Visar resultat 1 - 5 av 113 uppsatser innehållade orden phone call.

  1. 1. Digitally Controlled Oscillator Topologies for mm-Wave Pulsed Coherent Radar

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Klas Junskog; [2023]
    Nyckelord :oscillators; mm-wave; radar; Technology and Engineering;

    Sammanfattning : The advancement of future generations of wireless communication and radar sensing warrants the need for mm-wave digitally controlled oscillators (DCOs) with high-frequency trade-offs in consideration. The purpose of this project is to investigate DCO topologies inspired from scientific literature. LÄS MER

  3. 2. Speaker diarization in challenging environments using deep networks : An evaluation of a state-of-the-art system

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

    Författare :Mathias Näreaho; [2023]
    Nyckelord :;

    Sammanfattning : Speaker diarization is the task of determining 'who spoke when' in an audio segment. Since the breakthrough of deep learning, speech technology has experienced a huge improvement in a wide range of metrics and fields, and speaker diarization is no different. LÄS MER

  4. 3. Near Field millimeter Wave Antenna Measurements

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Bharath Manjunatha; [2023]
    Nyckelord :Antenna Pattern; Near field to far field; Planar Scanning; Probe Compensation; Active Antenna; Technology and Engineering;

    Sammanfattning : In the real world, understanding an antenna's radiation pattern is crucial for its proper utilization. Typically, antennas are tested in the far-field region, where the radiation lobes are fully developed and phase errors are less than pi/8. LÄS MER

  5. 4. Noise Robustness of CNN and SNN for EEG Motor imagery classification

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

    Författare :Merlin Sewina; [2023]
    Nyckelord :Machine Learning; Spiking Neural Networks; Convolutional Neural Networks; EEG;

    Sammanfattning : As an able-bodied human, understanding what someone says during a phone call with a lot of background noise is usually a task that is quite easy for us as we are aware of what the information is we want to hear, e.g. the voice of the person we are talking to, and the information that is noise, e.g. LÄS MER

  7. 5. Telecom Fraud Detection Using Machine Learning

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

    Författare :Chao Xiong; [2022]
    Nyckelord :Fraud Detection; Anomaly Detection; Machine Learning; Deep Learning; International Revenue Sharing Fraud;

    Sammanfattning : International Revenue Sharing Fraud (IRSF) is one of the most persistent types of fraud within the telecommunications industry. According to the 2017 Communications Fraud Control Association (CFCA) fraud loss survey, IRSF costs 6 billion dollars a year. Therefore, the detection of such frauds is of vital importance to avoid further loss. LÄS MER