On Implementing Two Adaptive Data Compression Schemes

Abstract: "We discuss the implementation of two locally adaptive data compression methods, called the transpose and interval coding. It is found out that the implementations are extremely efficient compared to other similar methods. Moreover, errors are less catastrophic to these methods than to most adaptive compression schemes."

Following an exchange of correspondence, I met Ross in Adelaide in June 1988. I was approached by the University of Adelaide about being an external examiner for this dissertation and willingly agreed. Upon receiving a copy of this work, what struck me most was the scholarship with which Ross approaches and advances this relatively new field of adaptive data compression. This scholarship, coupled with the ability to express himself clearly using figures, tables, and incisive prose, demanded that Ross's dissertation be given a wider audience. And so this thesis was brought to the attention of Kluwer. The modern data compression paradigm furthered by this work is based upon the separation of adaptive context modelling, adaptive statistics, and arithmetic coding. This work offers the most complete bibliography on this subject I am aware of. It provides an excellent and lucid review of the field, and should be equally as beneficial to newcomers as to those of us already in the field.

Described by Jeff Prosise of PC Magazine as one of my favorite books on applied computer technology, this updated second edition brings you fully up-to-date on the latest developments in the data compression field. It thoroughly covers the various data compression techniques including compression of binary programs, data, sound, and graphics. Each technique is illustrated with a completely functional C program that demonstrates how data compression works and how it can be readily incorporated into your own compression programs. The accompanying disk contains the code files that demonstrate the various techniques of data compression found in the book.

Covers all aspects of Internet of Energy (IoE) and smart cities including research problems and solutions. Points to the solutions provided by machine learning to optimize the grids within a smart city set-up. Discusses relevant IoE design principles and architecture. Helps to automate various services in smart cities for energy management. Includes case studies to show the effectiveness of the discussed schemes.

This is the second in a series of comprehensive annual reference guides to the use of computers in all the disciplines of the humanities. Like its predecessor, this volume provides a taxonomy of the field and an annotated survey of publications, research centers, text archives and termbanks, electronic communications, software, and hardware relevant to the humanities. It also includes special larger entries for important software that offer up-to-date information, and practical help in applying that information to research projects and instruction in colleges and universities. For the 1989-1990 edition, Lancashire has, for the first time, appointed an international advisory board of specialists to assist in discovering, assembling, and evaluating materials for inclusion; and, to keep up with the rapidly developing nature of the field and its international constituency, Lancashire has included many completely new or revised sections, including a major new chapter on computing in Law. A monumental work of current and enduring value, The Humanities Computing Yearbook will prove invaluable to a wide range of students, teachers, and researchers in humanities and social sciences, computational linguistics, and related fields in computer science.

And the downloadable software gives you the opportunity to see firsthand how various algorithms work, to choose and implement appropriate techniques in your own applications, and to build your own algorithms."--BOOK JACKET.