We develop rate-distortion theory for individual data with respect to general distortion measures, that is, a theory of lossy compression of individual data. This is applied to Euclidean distortion, Hamming distortion, Kolmogorov distortion, and Shannon-Fano distortion. We show that in all these cases for every function satisfying the obvious constraints there are data that have this function a...

The Front End Software Architecture (FESA) developed at CERN was chosen to serve as the front-end level of the future FAIR control system [1]. FESA provides the tools to design and operate DAQ systems (FESA classes) based on common platforms such as PCI, cPCI and VME. It handles common tasks like multiplexing and publishing of the data to Java based GUI applications. A complete FESA framework e...

One of the main issues with data hiding algorithms is capacity of data embedding. Most of data hiding methods suffer from low capacity that could make them inappropriate in certain hiding applications. This paper presents a high capacity data hiding method that uses encryption and the multi-band speech synthesis paradigm. In this method, an encrypted covert message is embedded in the unvoiced b...

This article briefly describes the topic of quantized control with limited data rates. The focus is on the problem of stabilizing a linear time-invariant plant over a digital channel, and the associated data rate theorems. It is shown that the deepest results in this area require a unified treatment of its communications and control aspects.

We propose a blind speech watermarking algorithm which allows high-rate embedding of digital side information into speech signals. We exploit the fact that the well-known LPC vocoder works very well for unvoiced speech. Using an auto-correlation based pitch tracking algorithm, a voiced/unvoiced segmentation is carried out. In the unvoiced segments, the linear prediction residual is replaced by ...

State-of-the-art data analysis in production allows engineers to characterize reservoirs using production data. This saves companies large sums that should otherwise be spend on well testing and reservoir simulation and modeling. There are two shortcomings with today’s production data analysis: It needs bottom-hole or well-head pressure data in addition to data for rating reservoirs’ characteri...