Recently, criterion functions based on information theoretic measures (entropy, mutual information, information divergence) have attracted attention and become an emerging area of study in signal processing and system identification domain. This book presents a systematic framework for system identification and information processing,...

Foundations of Robotics presents the fundamental concepts and methodologies for the analysis, design, and control of robot manipulators. It explains the physical meaning of the concepts and equations used, and it provides, in an intuitively clear way, the necessary background in kinetics, linear algebra, and control theory....

The field of robot vision guidance is developing rapidly. The benefits of sophisticated vision technology include savings, improved quality, reliability, safety and productivity. Robot vision is used for part identification and navigation. Vision applications generally deal with finding a part and orienting it for robotic handling or...

Covering a wide array of topics from bacteria to human cells, this book summarizes recent developments in DNA damage repair and recognition while providing timely reviews on the molecular...

With the character of the doctor as her subject, Tabitha Sparks follows the decline of the marriage plot in the Victorian novel. As Victorians came to terms with the scientific revolution in medicine of the mid-to-late nineteenth century, the novel's progressive distance from the conventions of the marriage plot can be indexed through a rising...

Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different groups, or more precisely, the partitioning of a data set into subsets...