James Reilly – författare

The Chinese government has more control over more wealth than any other government in world history. With the Communist Party controlling the "commanding heights" of the world's second-largest economy, China appears ideally structured to pursue economic statecraft, using economic resources to advance its foreign policy goals. Yet as this book shows, domestic complications frequently constrain Chinese leaders. They have responded with a distinctive approach to economic statecraft: orchestration. Drawing upon extensive field research across Asia and Europe, Orchestration traces the origins, operations, and effectiveness of China's economic statecraft. In this book, James Reilly examines the ideas and institutions at the heart of China's approach to economic statecraft, and assesses Beijing's orchestration in four cases: Myanmar, North Korea, Western Europe, and Central/Eastern Europe. China's unique experience as a planned economy, and then a developmental state, all under a single Leninist party, left Chinese leaders with unchallenged authority over their economy. However, despite successfully mobilizing companies, banks, and local officials to rapidly expand trade and investment abroad, Chinese leaders largely failed to influence key policy decisions overseas. For countries around the world, economic engagement with China thus yields more benefits with fewer costs than generally assumed. Orchestration engages three central questions. First, why does China deploy economic statecraft in this particular fashion? Secondly, when is China's economic statecraft most effective? Finally, what can the China case tell us about economic statecraft more broadly? The findings show how China uses economic resources to exert influence abroad and identify when Beijing is most effective. By exploring the domestic drivers of China's economic statecraft, this book helps launch a new research field: the comparative study of economic statecraft.

The rise and influence of public opinion on Chinese foreign policy reveals a remarkable evolution in authoritarian responses to social turmoil. James Reilly shows how Chinese leaders have responded to popular demands for political participation with a sophisticated strategy of tolerance, responsiveness, persuasion, and repression-a successful approach that helps explain how and why the Communist Party continues to rule China. Through a detailed examination of China's relations with Japan from 1980 to 2010, Reilly reveals the populist origins of a wave of anti-Japanese public mobilization that swept across China in the early 2000s. Popular protests, sensationalist media content, and emotional public opinion combined to impede diplomatic negotiations, interrupt economic cooperation, spur belligerent rhetoric, and reshape public debates. Facing a mounting domestic and diplomatic crisis, Chinese leaders responded with a remarkable reversal, curtailing protests and cooling public anger toward Japan.Far from being a fragile state overwhelmed by popular nationalism, market forces, or information technology, China has emerged as a robust and flexible regime that has adapted to its new environment with remarkable speed and effectiveness. Reilly's study of public opinion's influence on foreign policy extends beyond democratic states. It reveals how persuasion and responsiveness sustain Communist Party rule in China and develops a method for examining similar dynamics in different authoritarian regimes. He draws upon public opinion surveys, interviews with Chinese activists, quantitative media analysis, and internal government documents to support his findings, joining theories in international relations, social movements, and public opinion.

Signal processing is ubiquitous in many fields of science and engineering. This textbook is tailored specifically for graduate students and presents linear algebra, which is requisite knowledge in these fields, in a form explicitly targeted to signal processing and related disciplines. Written by an experienced author with over 35 years of expertise in signal processing research and teaching, this book provides the necessary foundation in a focused and accessible manner, offering a practical approach to linear algebra without sacrificing rigor. Emphasis is placed on a deeper conceptualization of material specific to signal processing so students may more readily adapt this knowledge to actual problems in the field. Since other emerging areas, such as machine learning, are closely related to signal processing, the book also provides the necessary background in this discipline. The book includes many examples and problems relevant to signal processing, offering explanations and insights that are difficult to find elsewhere.Fundamentals of Linear Algebra for Signal Processing will allow students to master the essential knowledge of linear algebra for signal processing. It is also an essential guide for researchers and practitioners in biomedical, electrical, chemical engineering, and related disciplines.

Signal processing is ubiquitous in many fields of science and engineering. This textbook is tailored specifically for graduate students and presents linear algebra, which is requisite knowledge in these fields, in a form explicitly targeted to signal processing and related disciplines. Written by an experienced author with over 35 years of expertise in signal processing research and teaching, this book provides the necessary foundation in a focused and accessible manner, offering a practical approach to linear algebra without sacrificing rigor. Emphasis is placed on a deeper conceptualization of material specific to signal processing so students may more readily adapt this knowledge to actual problems in the field. Since other emerging areas, such as machine learning, are closely related to signal processing, the book also provides the necessary background in this discipline. The book includes many examples and problems relevant to signal processing, offering explanations and insights that are difficult to find elsewhere.Fundamentals of Linear Algebra for Signal Processing will allow students to master the essential knowledge of linear algebra for signal processing. It is also an essential guide for researchers and practitioners in biomedical, electrical, chemical engineering, and related disciplines.