Subband and Wavelet Transforms

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Urmila M. Diwekar

This text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools from diverse areas of optimization without introducing excessive theoretical detail. This second edition includes additional topics, including global optimization and a real-world case study using important concepts from each chapter. Key Features: Provides well-written self-contained chapters, including problem sets and exercises, making it ideal for the classroom setting; Introduces applied optimization to the hazardous waste blending problem; Explores linear programming, nonlinear programming, discrete optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control; Includes an extensive bibliography at the end of each chapter and an index; GAMS files of case studies for Chapters 2, 3, 4, 5, and 7 are linked to Solutions manual available upon adoptions. Introduction to Applied Optimization is intended for advanced undergraduate and graduate students and will benefit scientists from diverse areas, including engineers.

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C.K. Chui, G. Chen

This book presents a thorough discussion of the mathematical theory of Kalman filtering. The filtering equations are derived in a series of elementary steps enabling the optimality of the process to be understood. It provides a comprehensive treatment of various major topics in Kalman-filtering theory, including uncorrelated and correlated noise, colored noise, steady-state theory, nonlinear systems, systems identification, numerical algorithms, and real-time applications. A series of problems for the student, together with a complete set of solutions, are also included. The style of the book is informal, and the mathematics elementary but rigorous, making it accessible to all those with a minimal knowledge of linear algebra and systems theory. In this second edition, in addition to some minor corrections and up-dating, the section on real-time system identification has been expanded and a brief introduction to wavelet analysis included.

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Anand Raghunathan, Niraj K. Jha, Sujit Dey

High-Level Power Analysis and Optimization presents a comprehensive description of power analysis and optimization techniques at the higher (architecture and behavior) levels of the design hierarchy, which are often the levels that yield the most power savings. This book describes power estimation and optimization techniques for use during high-level (behavioral synthesis), as well as for designs expressed at the register-transfer or architecture level. High-Level Power Analysis and Optimization surveys the state-of-the-art research on the following topics: power estimation/macromodeling techniques for architecture-level designs, high-level power management techniques, and high-level synthesis optimizations for low power. High-Level Power Analysis and Optimization will be very useful reading for students, researchers, designers, design methodology developers, and EDA tool developers who are interested in low-power VLSI design or high-level design methodologies.

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Michael Einhorn, Riaz Siddiqi

This book assembles current knowledge about the economics and technology of electricity transmission, the focus being on current issues that are vital to utilities, other power producers, regulators, system planners, and electricity users. It will appeal to anyone who has an interest in understanding the complexities and problems surrounding the transmission of electricity in a market that is becoming increasingly deregulated and competitive.