Sökning: "adaptive quantization"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden adaptive quantization.

  1. 1. Visual Attention Guided Adaptive Quantization for x265 using Deep Learning

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

    Författare :Mikaela Gärde; [2023]
    Nyckelord :video encoding; deep learning; visual attention; adaptive quantization; videokodning; djupinlärning; visuellt fokus; adaptiv kvantisering;

    Sammanfattning : The video on demand streaming is raising drastically in popularity, bringing new challenges to the video coding field. There is a need for new video coding techniques that improve performance and reduce the bitrates. LÄS MER

  3. 2. A Digital Phase-Locked Loop for Frequency Synthesis using an Adaptive Pulse Shrinking TDC

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

    Författare :Viktor Lewin; [2023]
    Nyckelord :Phase-locked loop; PLL; DPLL; Frequency Synthesis; TDC; PFD; Technology and Engineering;

    Sammanfattning : This thesis investigates a new type of Phase-Locked Loop (PLL) architecture which combines a phase/frequency detector (PFD) and a digital loop filter. The quantization is done by a time-to-digital converter which continuously shrinks the pulse coming from the PFD and registers how far it propagates. LÄS MER

  4. 3. Adaptive Energy Management Strategies for Series Hybrid Electric Wheel Loaders

    Master-uppsats, Linköpings universitet/Fordonssystem

    Författare :Carolina Pahkasalo; André Sollander; [2020]
    Nyckelord :A-ECMS; ECMS; Equivalent Consumption Minimization Strategy; Dynamic Programming; Hybrid Electric Wheel Loader; Pattern Recognition; Machine Learning; Neural Networks; Learning Vector Quantization; Optimal Control;

    Sammanfattning : An emerging technology is the hybridization of wheel loaders. Since wheel loaders commonly operate in repetitive cycles it should be possible to use this information to develop an efficient energy management strategy that decreases fuel consumption. LÄS MER

  5. 4. Image enhancement effect on the performance of convolutional neural networks

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Xiaoran Chen; [2019]
    Nyckelord :Image Enhancement; Convolutional Neural Networks; Deep Learning; Transfer Learning;

    Sammanfattning : Context. Image enhancement algorithms can be used to enhance the visual effects of images in the field of human vision. So can image enhancement algorithms be used in the field of computer vision? The convolutional neural network, as the most powerful image classifier at present, has excellent performance in the field of image recognition. LÄS MER

  7. 5. Investigating the Adaptive Loop Filter in Next Generation Video Coding

    Master-uppsats, KTH/Skolan för elektro- och systemteknik (EES)

    Författare :Alfonso De La Rocha Gomes-Arevalillo; [2017]
    Nyckelord :Joint Exploration Model; JEM; Adaptive Loop Filter; variance-based adaptive quantization; video compression; video coding standards;

    Sammanfattning : Current trends on video technologies and services are demanding higher bit rates, highervideo resolutions and better video qualities. This issue results in the need of a new generationof video coding techniques to increase the quality and compression rates of previous standards. LÄS MER