DLinear(Zeng 等人,2023)遵循 Autoformer 并使用季节性趋势分解。 最近,扩散模型也被开发用于时间序列数据 TimeGrad(Rasul 等人,2021)是一种条件扩散模型,它以自回归方式进行预测,降噪过程由循环神经网络的隐藏状态引导。然而,由于使用自回归解码,它在长时间序列上的推理速度较慢。 为了缓解这个问题,CSDI(Tashiro et...
L. (2003). Multi-resolution time series analysis applied to solar irradiance and climate reconstructions. J. Atmos. Solar-Terr. Phys. 65 191-201.Oh, H.-S., C. M. Ammann, P. Naveau, D. Nychka, and B. L. Otto-Bliesner (2003), Multi-resolution time series analysis applied to ...
Streaming time seriespattern recognitionsimilarity retrievaltime series representationStreaming time series retrieval (TSR) has been widely concerned in academia and industry. Considering the large volume, high dimensionality and continuous accumulation features of time series, there is limited capability to ...
This paper is concerned with representing multiresolution images using 1-D time series models. We assume that the given high resolution image {y0(t)} obeys an autoregressive model of order pand analyzes the structure of the models obeyed by low resolution copies of {y0(t)}. The problem of ...
Broich M, Hansen MC, Potapov P, Adusei B, Lindquist E, Stehman SV (2011) Time-series analysis of multi-resolution optical imagery for quantifying forest cover loss in Sumatra and Kalimantan, Indonesia. Int J Appl Earth Obs Geoinf 13:277–291...
Streaming time series retrieval (TSR) has been widely concerned in academia and industry. Considering the large volume, high dimensionality and continuous accumulation features of time series, there is limited capability to perform in-depth similarity searching directly on the raw time series data. The...
Generation of synthetic multi‐resolution time series load data doi:10.1049/stg2.12116IET Smart GridPinceti, AndreaSankar, LalithaKosut, Oliver
Time series can be stored at multiple resolutions, using distinct attribute aggregations and keeping its temporal attribute managed in a consistent way. The model exhibits a generic approach that facilitates its customisation to suit better the actual application requirements in a given context. The ...
Time series constitute a prevalent data type that arise in several diverse disciplines (e.g., biomedical data, sensor data, images, video data), and therefore analyzing time series is a significant task with a plethora of important applications. In this paper, we study the general problem of ...
Multi-rate superresolution time series spectrum an 优质文献 相似文献 参考文献 引证文献Multirate superresolution time-series spectrum analyzer / Supervised by Bruce R. Musicus. Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1990. Includes ....