Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. It explores applications of statistical signal processing to hyperspectral...
Every book tells a story and there is a story behind every book. This story begins in 1980, in the conference room of the laboratory for the structure of matter at the Naval Research Laboratory (NRL) in Washington, DC, where Peter D’Antonio was employed as a diffraction physicist. Knowing Peter’s interest in music, a colleague handed...
Model-driven development has become the most important new paradigm in software development and has already demonstrated considerable impact in reducing time to market and improving product quality. However, the development of high-quality systems not only requires systematic development processes but also systematic test processes.
Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. Specifically, it treats hyperspectral image processing and hyperspectral signal processing as separate subjects in...
"Digital Signal Processing: A Computer-Based Approach" is intended for a two-semester course on digital signal processing for seniors or first-year graduate students. Based on user feedback, a number of new topics have been added to the second edition, while some excess topics from the first edition have been removed. The author has...
The IBM Vienna Laboratory has made a significant contribution to the work on
the semantic description of computer systems. Both the operational semantics
descriptions ("VDL") and the later work on denotational semantics ("Meta-IV",
"VEM") contain interesting scientific ideas. Partly because of the large...
Electromagnetic wave scattering from random rough surfaces is an active, interdisciplinary area of research with myriad practical applications in fields such as optics, acoustics, geoscience and remote sensing.
Focusing on the case of random rough surfaces, this book presents classical asymptotic models used to describe...
Global modelling and validation is required to master the design of systems made of heterogeneous components. These systems are now omnipresent in our life, and they may be found in several domains such as communications (ex. mobile terminals, optical switches), health (e.g. cardiac stimulators, cochlear implants), transportation (ex. automotive...
A timely and relevant analysis of today's complex call models In today's world of ever-expanding telecommunications options, here is an advanced-level text that covers the mathematical methods used in the analysis of modern telecom networks, with emphasis on a variety of call models such as quality of service (QoS) in...
Collaborative research in bioinformatics and systems biology is a key element of modern biology and health research. This book highlights and provides access to many of the methods, environments, results and resources involved, including integral laboratory data generation and experimentation and clinical activities. Collaborative projects embody a...
Frontiers in Biochip Technology serves as an essential collection of new research in the field of biochip technology. This comprehensive collection covers emerging technologies and cutting –edge research in...
