Firstly, discrete-time linear models such as AR, MA and ARMA models, their properties and their limitations are introduced. In addition, sinusoidal models are...

Over the last few decades, energy minimization methods have become an established paradigm to resolve a variety of challenges in the fields of computer vision and pattern recognition. While traditional approaches to computer vision were often based on a heuristic sequence of processing steps and merely allowed a very limited...

The 10th International Conference on Unconventional Computation, UC 2011, was organized under the auspices of EATCS and Academia Europaea, by the Department of Mathematics of the University of Turku (Turku, Finland), and the Center for Discrete Mathematics and Theoretical Computer Science (Auckland, New Zealand). The event was held in...

Organizations of all sizes today find themselves increasingly awash in data, yet hungering for information to help them meet their business objectives. These corporations, from Main Street and Wall Street alike, have spent large amounts of time and money over the past 10 or so years implementing systems to help collect data on and...

The data compression field has always been an important part of computer science, and it is becoming increasingly popular and important today. Although computers become faster and data storage becomes less expensive and more efficient, the in creased importance of sound and video necessitates the use of at least a small mea sure of...

A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or...

A constraint is a restriction on a space of possibilities; it is a piece of knowledge that narrows the scope of this space. Because constraints arise naturally in most areas of human endeavor, they are the most general means for formulating regularities that govern our computational, physical, biological, and social worlds. Some...

Mathematics and mathematical modelling are of central importance in computer science. For this reason the teaching concepts of mathematics in computer science have to be constantly reconsidered, and the choice of material and the motivation have to be adapted. This applies in particular to mathematical analysis, whose significance has to be...

Linear Programming deals with the problem of minimizing or maximizing a linear function in the presence of linear inequalities. Since the development of the simplex method by George B. Dantzig in 1947, linear programming has been extensively used in the military, industrial, governmental, and urban planning fields, among others. The...

The first edition of this book, which was published in 1995, contained thirteen chapters. My objective was to produce a general textbook that treated all the essential core areas of cryptography, as well as a selection of more advanced topics. In writing the book, I tried to design it to be flexible enough to permit a wide variety of...

Crystallization from solution is a core technology in major sectors of the chemical process and allied industries. Crystals are produced in varying sizes ranging from as small as a few tens of nanometers to several millimetres or more, both as discrete particles and as structured agglomerates. Well- established examples include bulk...

This is a textbook for a first- or second-year graduate course for electrical and computer engineering (ECE) students in the area of digital image and video processing and coding. The course might be called Digital Image and Video Processing (DIVP) or some such, and has its heritage in the signal processing and communications areas of...