Essays about: "Multi-Channel"

Showing result 6 - 10 of 82 essays containing the word Multi-Channel.

  1. 6. Evaluation of Methods for Sound Source Separation in Audio Recordings Using Machine Learning

    University essay from Linköpings universitet/Kommunikationssystem

    Author : Amanda Gidlöf; [2023]
    Keywords : Sound source separation; signal processing; audio processing; speech enhancement; speaker identification; speech separation; speech processing; speaker separation; single channel; multi channel; cocktail party problem; machine learning; neural network; deep learning; deep neural network; convolutional network; dual-path network; filter-and-sum network; recurrent network; beamforming;

    Abstract : Sound source separation is a popular and active research area, especially with modern machine learning techniques. In this thesis, the focus is on single-channel separation of two speakers into individual streams, and specifically considering the case where two speakers are also accompanied by background noise. READ MORE

  3. 7. Automatic overcurrent and leakage current sensing in multiple channel NMES systems

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Malin Otter; Bashar Jamal Pati; [2023]
    Keywords : Neuromuscular Electrical Stimulation; Current monitoring; Overcurrent sensing; Leakage current sensing; Embedded systems; Instrumentation amplifier; Neuromuskulär elektrisk stimulering; Strömmätning; Överström detektering; Läckström detektering; Inbyggda system; Instrumentförstärkare;

    Abstract : This report presents the development, implementation, and testing of a current monitor system that is specifically developed for testing a neuromuscular electrical stimulation system (NMES). The NMES system, developed by KTH and its academic and industrial partners Karolinska institute and Matrix Muscle Support, incorporates advanced features aimed at preventing cardiovascular diseases. READ MORE

  4. 8. Battery Capacity Prediction Using Deep Learning : Estimating battery capacity using cycling data and deep learning methods

    University essay from Mälardalens universitet/Framtidens energi

    Author : Josefin Rojas Vazquez; [2023]
    Keywords : Battery management system; Lithium-ion batteries; battery degradation mechanisms; battery cycle life; Electrical impedance spectroscopy; Capacity estimation; Incremental capacity analysis; Deep learning models; Equivalent circuit model; Long short-term memory; Feedforward neural network; Conventional neural network; multi-channel data; Incremental capacity analysis;

    Abstract : The growing urgency of climate change has led to growth in the electrification technology field, where batteries have emerged as an essential role in the renewable energy transition, supporting the implementation of environmentally friendly technologies such as smart grids, energy storage systems, and electric vehicles. Battery cell degradation is a common occurrence indicating battery usage. READ MORE

  5. 9. Looking Ahead: The Future of the Offline Channel for Digital-born Retailers

    University essay from Handelshögskolan i Stockholm/Institutionen för marknadsföring och strategi

    Author : Anna Kälebo Johansson; Michelle Malmström; [2023]
    Keywords : Fashion retailing; E-commerce; Offline channels; Virtual shopping; Price image; Billboard effect; Customer acquisition cost; Retail death;

    Abstract : During recent years, there has been a significant increase in e-commerce and the demand for it among customers. It has become imperative for new fashion retailers to have a digital presence, and the outbreak of Covid-19 has further accelerated this trend, amplifying the importance of having a presence online. READ MORE

  6. 10. Straight to the Heart : Classification of Multi-Channel ECG-signals using MiniROCKET

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Stefan Christiansson; [2023]
    Keywords : MiniROCKET; Time-series analysis; Multi-variate; Classification; Convolutional Neural Network; MiniROCKET; Tidsserieanalys; Multivariat; Klassifikation; Convolutional Neural Network;

    Abstract : Machine Learning (ML) has revolutionized various domains, with biomedicine standing out as a major beneficiary. In the realm of biomedicine, Convolutional Neural Networks (CNNs) have notably played a pivotal role since their inception, particularly in applications such as time-series classification. READ MORE