Adaptive resampling for data compression

Adaptive Online Data Compression

Quickly transmitting large datasets in the context of distributed computing on wide area networks can be achieved by compressing data before transmission. However, such an approach is not efficient when dealing with higher speed networks. Indeed, the time to compress a large file and to send it is greater than the time to send the uncompressed file. In this paper, we explore and enhance an algo...

Adaptive surface data compression

Three-dimensional visualization techniques are becoming an important tool for medical applications. Computer generated 3D reconstructions of the human skull are used to build stereolithographic models, which can be used to simulate surgery or to create individual implants. Anatomy-based three-dimensional models are used to simulate the physical behaviour of human organs. These 3D models are usu...

adaptive non‑uniform rate sampling and application in data compression

in this paper the author considers a general method, based on time domain samples for spectral manipulation of time limited signals. first, the original signal is divided into some frames in the time domain. then, by presenting a suitable theoretical and computational algorithm, and using a method for improving the speed of convergence, we find the local bandwidth of each frame; thereby, each f...

Resampling Methods in Complex Survey Data

Adaptive compression for 3D laser data

This paper concerns the creation of efficient surface representations from laser point clouds created by a push broom laser system. We produce a continuous, implicit, non-parametric and non-stationary representation with an update time that is constant. This allows us to form predictions of the underlying workspace surfaces at arbitrary locations and densities. The algorithm places no restricti...