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Designed for an introductory electric circuits course, the second edition of Linear Circuit Analysis provides authoritative and in-depth yet highly accessible coverage of traditional linear ...
Intelligent data analysis, data mining and knowledge discovery in databases have recently gained the attention of a large number of researchers and practitioners. This is witnessed by the rapidly ...
An insightful approach to the analysis of variance in the study of linear models Linear Models explores the theory of linear models and the dynamic relationships that these models have with ...
This volume focuses on the application of the concepts and principles of mechanics to the analysis of structures, rather than the routine solution of certain types and classes of existing structures. ...
This book presents a unified methodology for designing modular neural networks. A family of online algorithms for time series classification, prediction and identification are developed; and a ...
The application of computational electromagnetics to real-world EMI/EMC engineering is an emerging technology. With the advancement in electronics, EMI/EMC issues have greatly increased in ...
This book emphasizes understanding basic concepts of controlling the currents on printed circuit boards (pcb's), and provides a wealth of insightful information detailing the possible sources of ...
The Analog to Digital Converters represent one half of the link between the world we live in - analog - and the digital world of computers, which can handle the computations required in digital ...
Integrated circuits incorporating both digital and analog functions have become increasingly prevalent in the semiconductor industry. Mixed-signal IC test and measurement has grown into a highly ...
Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines ...



