Sökning: "quantization error"

Visar resultat 1 - 5 av 26 uppsatser innehållade orden quantization error.

1. 1. Enhancing Long-Term Human Motion Forecasting using Quantization-based Modelling. : Integrating Attention and Correlation for 3D Motion Prediction

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

   Författare :Luis González Gudiño; [2023]
   Nyckelord :Human Motion Forecasting; Long-Term Prediction; VQ-VAE; Quantization; 3D Human Motion; CMU MoCap Dataset; Transformer; Mänsklig Rörelseprognos; Långsiktig Prognos; VQ-VAE; Kvantisering; 3D-mänsklig rörelse; CMU MoCap Dataset; Transformer;

   Sammanfattning : This thesis focuses on addressing the limitations of existing human motion prediction models by extending the prediction horizon to very long-term forecasts. The objective is to develop a model that achieves one of the best stable prediction horizons in the field, providing accurate predictions without significant error increase over time. 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. System Identification of continuous-time systems with quantized output data using indirect inference

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

   Författare :Frida Persson; [2021]
   Nyckelord :System Identification; Indirect Inference; Continuous-Time Systems; Identification of Non- Linear systems; Hammerstein system.; Systemidentifiering; Tidskontinuerliga system; Icke-linjära system; Hammerstein system.;

   Sammanfattning : Continuous-time system identification is an important subject with applications within many fields. Many physical processes are continuous in time. Therefore, when identifying a continuous-time model, we can use our insight into the system to decide the system structure and have a direct interpretation of the parameters. LÄS MER

5. 4. Unsupervised Audio Spectrogram Compression using Vector Quantized Autoencoders

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

   Författare :Amund Hansen Vedal; [2019]
   Nyckelord :;

   Sammanfattning : Despite the recent successes of neural networks in a variety of domains, musical audio modeling is still considered a hard task, with features typically spanning tens of thousands of dimensions in input space. By formulating audio data compression as an unsupervised learning task, this project investigates the applicability of vector quantized neural network autoencoders for compressing spectrograms – image-like representations of audio. LÄS MER

7. 5. Hardware Efficient Lossless Realtime Compression of Raw Image Data

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

   Författare :Måns Åhlander; Axel Jonsson; [2018]
   Nyckelord :Compression; Realtime; Video; Encoding; Bitrate; Technology and Engineering;

   Sammanfattning : When transmitting data it is often desired to lower the bitrate in the transmission. In video capture devices, such as video cameras, with a high resolution and high capturing rate the bitrate in the transmission is high and it is often desired to lower this bitrate. LÄS MER