Bücher der Reihe Springer Series in Information Sciences

The perceptual structures for pitch and timbre have been mapped via schemata, with results that have contributed to a better understanding of music perception. This book provides a foundation for the understanding of the emergence and functionality of schemata by means of computer-based simulations of tone center perception.

While the present edition is bibliographically the third one of Vol. 8 of the Springer Series in Information Sciences (IS 8), the book actually stems from Vol. 17 of the series Communication and Cybernetics (CC 17), entitled Associative Memory - A System-Theoretical Approach, which appeared in 1977. That book was the first monograph on distributed associative memories, or "e;content-addressable memories"e; as they are frequently called, especially in neural-networks research. This author, however, would like to reserve the term "e;content-addressable memory"e; for certain more traditional constructs, the memory locations of which are selected by parallel search. Such devices are discussed in Vol. 1 of the Springer Series in Information Sciences, Content-Addressable Memories. This third edition of IS 8 is rather similar to the second one. Two new discussions have been added: one to the end of Chap. 5, and the other (the L VQ 2 algorithm) to the end of Chap. 7. Moreover, the convergence proof in Sect. 5.7.2 has been revised.

A knowledge of linear systems provides a firm foundation for the study of optimal control theory and many areas of system theory and signal processing.

This book results from a Workshop on Multiresolution Image Processing and Analysis, held in Leesburg, VA on July 19-21, 1982. It contains updated ver sions of most of the papers that were presented at the Workshop, as well as new material added by the authors.

In this second edition every chapter of the first edition of Pattern Analysis has been updated and expanded. A short account of light and sound has been added to the introduction, some normalization techniques and a basic introduction to morphological operations have been added to the second chapter.

A specific problem in the field of active vision is analyzed, namely how suitable is it to explicitly use 3D visual cues in a reactive visual task? With this book scientists and graduate students will have a complete set of methods, algorithms, and experiments to introduce 3D visual cues in active visual perception mechanisms, e.g.

While much of present-day image processing is implemented digitally, this work is not intended for those who think of image processing as a branch of digital signal processing, except, perhaps, to try to change their minds.

The text has been prepared for researchers involved in picture processing. From the viewpoint of both signal theory and information theory, the treatment covers the basic principles of the digital methods for the processing of continuous signals such as picture signals.

Pitch (i.e., fundamental frequency FO and fundamental period TO) occupies a key position in the acoustic speech signal. 3) For an arbitrary speech signal uttered by an unknown speaker, the fundamental frequency can vary over a range of almost four octaves (50 to 800 Hz).

The image taken by a moving camera changes with time. Reconstruction from image motion is the subject matter of two different sci entific disciplines, photogrammetry and computer vision.

Radar Array Processing presents modern techniques andmethods for processingradar signals received by an array ofantenna elements. Topics covered in detail here include:super-resolution methods of array signal processing asapplied to radar, adaptive beam forming for radar, and radarimaging.

In addition to the traditional numerical methods, such as matrix inversions and the like, a whole new field of computational techniques has come to assume central importance, namely the numerical simulation methods.

Lnear prediction theory and the related algorithms have matured to the point where they now form an integral part of many real-world adaptive systems. When it is necessary to extract information from a random process, we are frequently faced with the problem of analyzing and solving special systems of linear equations.

My first encounter with the theory of harmony was during my last year at school (1975). But it was not until I arrived in Munich the following year (on Terhardt's invitation) that I began to appreciate the conse quences of his "psychoacoustical" approach for the theory of harmony.

The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. Many fields of science have adopted the SOM as a standard analytical tool: statistics, signal processing, control theory, financial analyses, experimental physics, chemistry and medicine.

This book consists of papers presented at an international symposium spon sored and organised by The Rank Prize Funds and held at The Royal Society, London, on 27-29 September, 1982.

Forty years ago, in 1957, the Principle of Maximum Entropy was first intro duced by Jaynes into the field of statistical mechanics. As well as continuing my research in MEM after graduation, I taught a course of the same name at the Graduate School, Chinese Academy of Sciences, Beijingfrom 1987to 1990.

During the past two decades there has been a considerable growth in interest in problems of pattern recognition and image processing (PRIP). Practical applications of PRIP include character recognition, re mote sensing, analysis of medical signals and images, fingerprint and face identification, target recognition and speech understanding.

Starting with applications in aerospace engineering, their impact has been felt not only in all areas of engineering but as all also in the social sciences, biological sciences, medical sciences, as well other physical sciences.

"Signal Processing and Systems Theory" is concerned with thestudy of H-optimization for digital signal processing anddiscrete-time control systems.

With contributions by numerous experts

However, there are many new problems which should be solved: how to effi ciently process the abundant information contained in time-varying images, how to model the change between images, how to model the uncertainty inherently associated with the imaging system and how to solve inverse problems which are generally ill-posed.

This book was conceived during the Workshop "Calibration and Orientation of Cameras in Computer Vision" at the XVIIth Congress of the ISPRS (In ternational Society of Photogrammetry and Remote Sensing), in July 1992 in Washington, D.

In the first edition of this book, we covered in Chapter 6 and 7 the applications to multidimensional convolutions and DFT's of the transforms which we have introduced, back in 1977, and called polynomial transforms.

Discrete H? Optimization is concerned with the study of H? optimization for digital signal processing and discrete-time control systems.

With Introduction to Hearing and Signal Analysis and a Glossary of Speech and Computer Terms