Optical computing: introduction by the guest editors to the feature in the 1 May 1988 issue

The feature in the 1 May 1988 issue of Applied Optics includes a collection of papers originally presented at the 1987 Lake Tahoe Topical Meeting on Optical Computing. These papers emphasize digital optical computing systems, optical interconnects, and devices for optical computing, but analog optical processing is considered as well

Attractiveness and activity in Internet communities

Datasets of online communication often take the form of contact sequences -- ordered lists contacts (where a contact is defined as a triple of a sender, a recipient and a time). We propose measures of attractiveness and activity for such data sets and analyze these quantities for anonymized contact sequences from an Internet dating community. For this data set the attractiveness and activity measures show broad power-law like distributions. Our attractiveness and activity measures are more strongly correlated in the real-world data than in our reference model. Effects that indirectly can make active users more attractive are discussed

Introduction to the special issue on neural networks in financial engineering

There are several phases that an emerging field goes through before it reaches maturity, and computational finance is no exception. There is usually a trigger for the birth of the field. In our case, new techniques such as neural networks, significant progress in computing technology, and the need for results that rely on more realistic assumptions inspired new researchers to revisit the traditional problems of finance, problems that have often been tackled by introducing simplifying assumptions in the past. The result has been a wealth of new approaches to these time-honored problems, with significant improvements in many cases

PICES Press, Vol. 12, No. 1, January 2004

The state of PICES science - 2003 (pdf 281 KB) 2003 Wooster Award (pdf 764 KB) The state of the eastern North Pacific through summer 2003 (pdf 448 KB) The Bering Sea: Current status and recent events (pdf 951 KB) The state of the western North Pacific in the first half of 2003 (pdf 684 KB) The status of oceanic zooplankton in the eastern North Pacific (pdf 390 KB) The precautionary approach to the PDO (pdf 976 KB) Photo highlights of PICES XII (pdf 2.79 MB) William G. Pearcy: Renaissance oceanographer (pdf 2.86 MB) KORDI/PICES/CoML Workshop on "Variability and status of the Yellow Sea and East China Sea ecosystems (pdf 785 KB) PICES/IOC Workshop on "Harmful algal blooms - Harmonization of data" (pdf 330 KB) From physics to predators: Monitoring North Pacific ecosystem dynamics (pdf 270 KB) Toward a coast-wide network of Northeast Pacific coastal-ocean monitoring programs - a brief workshop report (pdf 640) PICES publications (pdf 103 KB) PICES calendar (pdf 45 KB

Feedforward data-aided phase noise estimation from a DCT basis expansion

This contribution deals with phase noise estimation from pilot symbols. The phase noise process is approximated by an expansion of discrete cosine transform (DCT) basis functions containing only a few terms. We propose a feedforward algorithm that estimates the DCT coefficients without requiring detailed knowledge about the phase noise statistics. We demonstrate that the resulting (linearized) mean-square phase estimation error consists of two contributions: a contribution from the additive noise, that equals the Cramer-Rao lower bound, and a noise independent contribution, that results front the phase noise modeling error. We investigate the effect of the symbol sequence length, the pilot symbol positions, the number of pilot symbols, and the number of estimated DCT coefficients it the estimation accuracy and on the corresponding bit error rate (PER). We propose a pilot symbol configuration allowing to estimate any number of DCT coefficients not exceeding the number of pilot Symbols, providing a considerable Performance improvement as compared to other pilot symbol configurations. For large block sizes, the DCT-based estimation algorithm substantially outperforms algorithms that estimate only the time-average or the linear trend of the carrier phase. Copyright (C) 2009 J. Bhatti and M. Moeneclaey

Thoughts from the IAAER’s 12th World Congress of Accounting Educators and Researchers

No abstract available