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  • Lingua: Inglese

    Editore: Artech House Sep 2026, 2026

    1685691234 / 9781685691233

    • Rilegato

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

    Venditore con 5 stelle
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    Condizione: Nuovo

    EUR 183,17

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Buch. Condizione: Neu. Neuware - Multiband Passive Planar RF Circuit Design delivers essential knowledge and advanced design methodologies of passive RF circuits operating across multiple frequency bands and dynamically adapting to changing system requirements. This text provides a rigorous exploration of core microwave components such as couplers, power dividers, baluns, and phase shifters by covering the theory, design methodologies, as well as practical implementation. Through clear design equations, parameter analysis, and comparative studies, this resource offers a structured approach to high-frequency design and implementation challenges.The book focuses on cutting-edge techniques for multiband and reconfigurable planar RF circuits, covering dual-band through hexa-band systems. Detailed chapters demonstrate the practical application of stub loading, multisection approaches, defected ground structures, metamaterials, PIN diodes, varactors, and RF MEMS switches. Essential engineering considerations, including fabrication tolerances, de-embedding techniques, and performance optimization, are fully integrated to ensure practical utility in modern adaptive RF architecture.Engineers, students, and researchers will find this work an invaluable guide to the design trade-offs, advantages, and limitations of next-generation planar RF systems. By combining fundamental principles with state-of-the-art tuning and switching methods, the narrative equips readers to engineer versatile components for contemporary multiband communication standards.…

  • Lingua: Inglese

    Editore: Artech House Sep 2026, 2026

    168569117X / 9781685691172

    • Rilegato

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 219,60

    EUR 43,82 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Buch. Condizione: Neu. Neuware - Introduction to Radar Using Python and MATLAB(R), Second Edition: With Applications in Artificial Intelligence and Machine Learning provides a comprehensive, hands-on framework for understanding, designing, analyzing, and implementing modern radar systems. From electromagnetic field theory through advanced applications in synthetic aperture radar (SAR), this authoritative resource equips professionals with the integrated knowledge and practical tools required for next-generation development. The second edition extends coverage to cutting-edge technologies, integrating artificial intelligence and machine learning (AI/ML), alongside photonic receivers for enhanced radar dectection, target classification, tracking, SAR, and electronic warfare. An accompanying radar software tool suite directly supports practical exploration of these advanced concepts. Designed for interactive analysis, the software enables engineers to visualize radar performance, evaluate design trade-offs, and interactively test parameters across every chapter. The suite delivers interactive graphical user interfaces in Python, complemented by Jupyter not Elektronisches Buch, MATLAB applications, and MATLAB Live Scripts. These utilities update dynamic plots as parameters adjust, driving rapid experimentation and reinforcing the connection between theoretical concepts and system-level behavior.This essential resource serves radar systems engineers, signal processing specialists, defense and aerospace professionals, and graduate students pursuing advanced radar design. Packed with over 1,000 equations, 300 detailed figures, 100 runnable code examples, and 200 comprehensive end-of-chapter problems for active learning, the text delivers the technical depth required to design, analyze, and optimize operational radar platforms. Engineers will gain an immediate competitive advantage by mastering both classical processing and modern AI-driven techniques to solve complex challenges in clutter rejection, target identification, and system integration.…