Xueqian (63 resultados)

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Hardback. Condición: New. In smart agriculture, core functions such as agricultural machinery automation, intelligent environmental sensing, and precision crop management rely heavily on continuous, high-quality energy supply. Intelligent power systems tailored to agricultural scenarios are essential to realizing unmanned farms. Moreover, as a result of rural revitalization strategies and national programmes such as China's dual carbon goals, rural areas and agriculture are no longer merely energy consumers. Agricultural and rural zones are increasingly becoming important providers of distributed renewable energy and suitable deployment sites for energy infrastructure. As such, the agricultural energy internet is now entering a critical stage of rapid development and engineering transformation. Evolution of the Agricultural Energy Internet: Modeling, simulation and engineering practice focuses on the field of agricultural energy and falls under the discipline of agricultural electrification and automation. The book systematically elaborates on the principles and applications of the agricultural energy internet through theoretical modelling, simulation techniques and engineering case studies - especially in response to the growing demand for clean, reliable, and intelligent power supply systems that enable the future development of unmanned and smart agriculture. A key feature of this book lies in its integrated structure combining theoretical analysis, code implementation, and real-world engineering cases. Chapters offer a systematic overview of modelling and simulation, methods for agricultural energy internet systems, provide reproducible code implementations, and present in-depth case studies based on projects including the aqua photonics-based agricultural energy internet at the Smart Farm in Zhuoxhou, Hebei Province, China, and the agricultural park in Langyatai, Qingdao, China. The closed-loop content design - from theory to simulation to engineering validation - makes the book suitable both for researchers developing algorithms and models, and for engineers seeking practical guidance in system deployment.…

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Condición: New. 2026. hardcover. . . . . .

Hardcover. Condición: new. Hardcover. The task of signal detection is deciding whether signals of interest exist by using their observed data. Furthermore, signals are reconstructed or their key parameters are estimated from the observations in the task of signal recovery. Sparsity is a natural characteristic of most of signals in practice. The fact that multiple sparse signals share the common locations of dominant coefficients is called by joint sparsity. In the context of signal processing, joint sparsity model results in higher performance of signal detection and recovery. This book focuses on the task of detecting and reconstructing signals with joint sparsity. The main contents include key methods for detection of joint sparse signals and their corresponding theoretical performance analysis, and methods for joint sparse signal recovery and their application in the context of radar imaging. The task of signal detection is deciding whether signals of interest exist by using their observed data. The main contents include key methods for detection of joint sparse signals and their corresponding theoretical performance analysis, and methods for joint sparse signal recovery and their application in the context of radar imaging. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The task of signal detection is deciding whether signals of interest exist by using their observed data. Furthermore, signals are reconstructed or their key parameters are estimated from the observations in the task of signal recovery. Sparsity is a natural characteristic of most of signals in practice. The fact that multiple sparse signals share the common locations of dominant coefficients is called by joint sparsity. In the context of signal processing, joint sparsity model results in higher performance of signal detection and recovery. This book focuses on the task of detecting and reconstructing signals with joint sparsity. The main contents include key methods for detection of joint sparse signals and their corresponding theoretical performance analysis, and methods for joint sparse signal recovery and their application in the context of radar imaging.…

Condición: New. 2024th edition NO-PA16APR2015-KAP.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The task of signal detection is deciding whether signals of interest exist by using their observed data. Furthermore, signals are reconstructed or their key parameters are estimated from the observations in the task of signal recovery. Sparsity is a natural characteristic of most of signals in practice. The fact that multiple sparse signals share the common locations of dominant coefficients is called by joint sparsity. In the context of signal processing, joint sparsity model results in higher performance of signal detection and recovery. This book focuses on the task of detecting and reconstructing signals with joint sparsity. The main contents include key methods for detection of joint sparse signals and their corresponding theoretical performance analysis, and methods for joint sparse signal recovery and their application in the context of radar imaging.…

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The task of signal detection is deciding whether signals of interest exist by using their observed data. Furthermore, signals are reconstructed or their key parameters are estimated from the observations in the task of signal recovery. Sparsity is a natural characteristic of most of signals in practice. The fact that multiple sparse signals share the common locations of dominant coefficients is called by joint sparsity. In the context of signal processing, joint sparsity model results in higher performance of signal detection and recovery. This book focuses on the task of detecting and reconstructing signals with joint sparsity. The main contents include key methods for detection of joint sparse signals and their corresponding theoretical performance analysis, and methods for joint sparse signal recovery and their application in the context of radar imaging.…

Taschenbuch. Condición: Neu. Study on Signal Detection and Recovery Methods with Joint Sparsity | Xueqian Wang | Taschenbuch | Springer Theses | xvi | Englisch | 2024 | Springer | EAN 9789819941193 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Buch. Condición: Neu. Neuware - In smart agriculture, core functions such as agricultural machinery automation, intelligent environmental sensing, and precision crop management rely heavily on continuous, high-quality energy supply. Intelligent power systems tailored to agricultural scenarios are essential to realizing unmanned farms. Moreover, as a result of rural revitalization strategies and national programmes such as China's dual carbon goals, rural areas and agriculture are no longer merely energy consumers. Agricultural and rural zones are increasingly becoming important providers of distributed renewable energy and suitable deployment sites for energy infrastructure. As such, the agricultural energy internet is now entering a critical stage of rapid development and engineering transformation. Evolution of the Agricultural Energy Internet: Modeling, simulation and engineering practice focuses on the field of agricultural energy and falls under the discipline of agricultural electrification and automation. The book systematically elaborates on the principles and applications of the agricultural energy internet through theoretical modelling, simulation techniques and engineering case studies - especially in response to the growing demand for clean, reliable, and intelligent power supply systems that enable the future development of unmanned and smart agriculture. A key feature of this book lies in its integrated structure combining theoretical analysis, code implementation, and real-world engineering cases. Chapters offer a systematic overview of modelling and simulation, methods for agricultural energy internet systems, provide reproducible code implementations, and present in-depth case studies based on projects including the aqua photonics-based agricultural energy internet at the Smart Farm in Zhuoxhou, Hebei Province, China, and the agricultural park in Langyatai, Qingdao, China. The closed-loop content design - from theory to simulation to engineering validation - makes the book suitable both for researchers developing algorithms and models, and for engineers seeking practical guidance in system deployment.…

Condición: New.

Taschenbuch. Condición: Neu. Ichnology of the Permian-Triassic Mass Extinction in China | Xueqian Feng (u. a.) | Taschenbuch | xi | Englisch | 2026 | Springer | EAN 9789819666416 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condición: New. 2026. hardcover. . . . . . Books ship from the US and Ireland.

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Hardcover. Condición: Brand New. 137 pages. 9.25x6.10x0.55 inches. In Stock.

Hardcover. Condición: Brand New. 472 pages. 6.14x2.00x9.21 inches. In Stock.

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Hardback. Condición: New. In smart agriculture, core functions such as agricultural machinery automation, intelligent environmental sensing, and precision crop management rely heavily on continuous, high-quality energy supply. Intelligent power systems tailored to agricultural scenarios are essential to realizing unmanned farms. Moreover, as a result of rural revitalization strategies and national programmes such as China's dual carbon goals, rural areas and agriculture are no longer merely energy consumers. Agricultural and rural zones are increasingly becoming important providers of distributed renewable energy and suitable deployment sites for energy infrastructure. As such, the agricultural energy internet is now entering a critical stage of rapid development and engineering transformation. Evolution of the Agricultural Energy Internet: Modeling, simulation and engineering practice focuses on the field of agricultural energy and falls under the discipline of agricultural electrification and automation. The book systematically elaborates on the principles and applications of the agricultural energy internet through theoretical modelling, simulation techniques and engineering case studies - especially in response to the growing demand for clean, reliable, and intelligent power supply systems that enable the future development of unmanned and smart agriculture. A key feature of this book lies in its integrated structure combining theoretical analysis, code implementation, and real-world engineering cases. Chapters offer a systematic overview of modelling and simulation, methods for agricultural energy internet systems, provide reproducible code implementations, and present in-depth case studies based on projects including the aqua photonics-based agricultural energy internet at the Smart Farm in Zhuoxhou, Hebei Province, China, and the agricultural park in Langyatai, Qingdao, China. The closed-loop content design - from theory to simulation to engineering validation - makes the book suitable both for researchers developing algorithms and models, and for engineers seeking practical guidance in system deployment.…

Condición: New.

Paperback. Condición: New. Statistical Relational Artificial Intelligence in Photovoltaic Power Uncertainty Analysis addresses uncertainty issues in photovoltaic power generation while also supporting the collaborative enhancement of understanding and applying theory and methods through the integration of models, cases, and code. The book employs StaRAI to address uncertainty analysis and modeling issues at different time scales in photovoltaic power generation, including photovoltaic power prediction, probabilistic power flow, stochastic planning, and more. Chapters cover uncertainty of PV power generation from short to long time scales, including day-ahead scheduling (24 hours in advance), intraday scheduling (minute to hour rolling), and grid planning (15 years).Other sections study the impact of photovoltaic uncertainty on the power grid, offering the most classic cases of probabilistic load flow and PV stochastic planning.The theoretical content of this book is not only systematic but supplemented with concrete examples and MATLAB/Python codes. Its contents will be of interest to all those working on photovoltaic planning, power generation, power plants, and applications of AI, including researchers, advanced students, faculty engineers, RandD, and designers.…