Chao Lu – författare

Fourier transforms of large multidimensional data sets arise in many fields --ranging from seismology to medical imaging. The rapidly increasing power of computer chips, the increased availability of vector and array processors, and the increasing size of the data sets to be analyzed make it both possible and necessary to analyze the data more than one dimension at a time. The increased freedom provided by multidimensional processing, however, also places intesive demands on the communication aspects of the computation, making it difficult to write code that takes all the algorithmic possiblities into account and matches these to the target architecture. This book develops algorithms for multi-dimensional Fourier transforms that yield highly efficient code on a variety of vector and parallel computers. By emphasizing the unified basis for the many approaches to one-dimensional and multidimensional Fourier transforms, this book not only clarifies the fundamental similarities, but also shows how to exploit the differences in optimizing implementations.This book will be of interest not only to applied mathematicians and computer scientists, but also to seismologists, high-energy physicists, crystallographers, and electrical engineers working on signal and image processing. Topics covered include: tensor products and the fast Fourier transform; finite Abelian groups and their Fourier transforms; Cooley- Tukey and Good-Thomas algorithms; lines and planes; reduced transform algorithms; field algorithms; implementation on Risc and parallel

The main goal of this graduate-level text is to provide a language for understanding, unifying , and implementing a wide variety of algorithms for dgital signal processing -- in particular, to provide ruls and procedures that can simplify or even automate the task of writing code for the newest parallel and vector machines. It thus bridges the gap between digital signal processing algorithms and their implementation on a variety of computing platforms. The mathematical concept of tensor product is a recurring theme throughout the book: tensor product factors have a direct interpretation on on many vector and parallel computers and tensor product idetities can be matched to machine implementation. These formulations also highlight the data flow, which is is especially important on supercomputers, where data flow may be the factor limiting the efficiency of a computation. Because of its importance in many appications, much of the discussion centers on algorithms related to the finite Fourier transform and to multiplicative FFT algorithms; other topics covered include convolution algorithms and prime-factor algorithms.This second edition has been revised and brought up to date throughout.

Flexible DC Traction Power Supply Systems in Urban Rail Transit: Design, Operation and Control is an essential guide on the cutting-edge of the field that clarifies the current standard for power converters, traction control, and energy systems for rail transport before introducing basic concepts, configurations, and opportunities for flexible DC traction power supply systems. Other sections provide a detailed guide to operating principles and core functions in comparison to traditional diode rectifier-based traction power supply systems. This is a critical resource for energy and electrical engineers, researchers, and students developing the sustainable infrastructure of the future.Key techniques are analyzed with attentive reference to rail application context and appropriate case studies. The book closes with two full chapters of novel case studies from China that support practical application and further development by readers. Working from foundational principles to real-world applications.Elucidates on the foundational principles and design of flexible DC traction power supply systemsIncludes extensive, real-world case studies to support the reader in developing new applicationsOffers an important guide to enabling sustainable electrification of rail transport

This book is based on several courses taught during the years 1985-1989 at the City College of the City University of New York and at Fudan Univer­ sity, Shanghai, China, in the summer of 1986. It was originally our intention to present to a mixed audience of electrical engineers, mathematicians and computer scientists at the graduate level a collection of algorithms that would serve to represent the vast array of algorithms designed over the last twenty years for computing the finite Fourier transform (FFT) and finite convolution. However, it was soon apparent that the scope of the course had to be greatly expanded. For researchers interested in the design of new algorithms, a deeper understanding of the basic mathematical concepts underlying algorithm design was essential. At the same time, a large gap remained between the statement of an algorithm and the implementation of the algorithm. The main goal of this text is to describe tools that can serve both of these needs. In fact, it is our belief that certain mathematical ideas provide a natural language and culture for understanding, unifying and implementing a wide range of digital signal processing (DSP) algo­ rithms. This belief is reinforced by the complex and time-consuming effort required to write code for recently available parallel and vector machines. A significant part of this text is devoted to establishing rules and procedures that reduce and at times automate this task.

Fourier transforms of large multidimensional data sets arise in many fields --ranging from seismology to medical imaging. The rapidly increasing power of computer chips, the increased availability of vector and array processors, and the increasing size of the data sets to be analyzed make it both possible and necessary to analyze the data more than one dimension at a time. The increased freedom provided by multidimensional processing, however, also places intesive demands on the communication aspects of the computation, making it difficult to write code that takes all the algorithmic possiblities into account and matches these to the target architecture. This book develops algorithms for multi-dimensional Fourier transforms that yield highly efficient code on a variety of vector and parallel computers. By emphasizing the unified basis for the many approaches to one-dimensional and multidimensional Fourier transforms, this book not only clarifies the fundamental similarities, but also shows how to exploit the differences in optimizing implementations. This book will be of interest not only to applied mathematicians and computer scientists, but also to seismologists, high-energy physicists, crystallographers, and electrical engineers working on signal and image processing. Topics covered include: tensor products and the fast Fourier transform; finite Abelian groups and their Fourier transforms; Cooley- Tukey and Good-Thomas algorithms; lines and planes; reduced transform algorithms; field algorithms; implementation on Risc and parallel

With the integration of more distributed or aggregated renewables, and the wide utilization of power electronic devices, modern power systems are facing new stability and security challenges, such as the weakly damped oscillation caused by wind farms connected through long distance transmission lines, the frequency stability problem induced by the reduction of inertia and the voltage stability issue resulting from the interactions between transmission systems and dynamic loads.Meanwhile, synchronized phasor measurement technology developed very fast in the last decade, and more phasor measurement units (PMUs) and wide area measurement systems (WAMSs) have been deployed. These provide more insights into the system dynamics and approaches to overcoming the new challenges.This book addresses the emerging concepts, methodologies and applications of wide area monitoring, control and protection in power systems with integrated large scale renewables. Chapters cover monitoring, modelling and validation, control, and data mining with an emphasis on synchrophasor technology, and experiences with real power grids.

This book offers a complete and well-organized review of the latest advances made in developing ultra-weak chemiluminescence techniques for analytical applications.

This book investigates in detail production scheduling technology in different kinds of shop environment to achieve sustainability manufacturing.