From the Publisher: 
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

An overview of the self-organizing map algorithm, on which the papers in this issue are based, is presented in this article.

The Self-Organizing Map

Fast Fourier Transform

Computer algebra systems are now ubiquitous in all areas of science and engineering. This highly successful textbook, widely regarded as the “bible of computer algebra”, gives a thorough introduction to the algorithmic basis of the mathematical engine in computer algebra systems. Designed to accompany oneor two-semester courses for advanced undergraduate or graduate students in computer science or mathematics, its comprehensiveness and reliability has also made it an essential reference for professionals in the area. Special features include: detailed study of algorithms including time analysis; implementation reports on several topics; complete proofs of the mathematical underpinnings; and a wide variety of applications (among others, in chemistry, coding theory, cryptography, computational logic, and the design of calendars and musical scales). A great deal of historical information and illustration enlivens the text. In this third edition, errors have been corrected and much of the Fast Euclidean Algorithm chapter has been renovated.

Modern computer algebra

The Artificial Intelligence field continues to be plagued by what can only be described as ‘bold promises for the future syndrome’, often perpetrated by researchers who should know better. While impartial assessment can point to concrete contributions over the past 50 years (such as automated theorem proving, games strategies, the LISP and Prolog high-level computer languages, Automatic Speech Recognition, Natural Language Processing, mobile robot path planning, unmanned vehicles, humanoid robots, data mining, and more), the more cynical argue that AI has witnessed more than its fair share of ‘unmitigated disasters’ during this time – see, for example [3,58,107,125,186]. The general public becomes rapidly jaded with such ‘bold predictions’ that fail to live up to their original hype, and which ultimately render the zealots’ promises as counter-productive.

Computational Intelligence: An Introduction

In this paper we present the FPGA-based hardware ac- celerator gNBXe for emulation of classical Self-Organizing Maps (SOMs) and Conscience SOM (CSOM) in a multi-FPGA environment. After dis- cussing how the CSOM is mapped to a resource-efficient digital hardware implementation, we present how the modular system architecture can be flexibly adapted to various application datasets. The hardware costs and scalability of a multi-FPGA based accelerator using Xilinx Virtex2 and Virtex4 FPGAs are discussed. Compared to a state-of-the-art multi-core PC, a speedup of 9.1 is achieved for a CSOM with 4, 840 neurons and 196 synaptic weights.

gNBXe - a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps

Leistungsbewertung unterschiedlicher Einbettungsvariaten dynamisch rekonfigurierbarer Hardware.

The influence of phase noise related to 16 and 32 test carrier phase angles of BPS carrier recovery in a 16-QAM transmission system has been investigated in real-time with a data rate of 2.5 Gb/s.

Real-time comparison of blind phase search with different angle resolutions for 16-QAM

Visual Landmarks Based on Self-localization of Mobile Robot Using an Alternative Geometric Triangulation Algorithm

1.25 Gbit/s synchronous coherent 16-QAM data is transmitted and received in a real-time intradyne setup with BER below FEC threshold. A phase noise tolerant feedforward carrier recovery concept with hardware-efficient implementation was tested.

Ulrich Rückert

Papers

gNBXe - a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps

Leistungsbewertung unterschiedlicher Einbettungsvariaten dynamisch rekonfigurierbarer Hardware.

Real-time comparison of blind phase search with different angle resolutions for 16-QAM

Visual Landmarks Based on Self-localization of Mobile Robot Using an Alternative Geometric Triangulation Algorithm

Implementation Of Coherent 16-QAM Digital Receiver With Feedforward Carrier Recovery