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Añadir al carritoTaschenbuch. Condición: Neu. Basic Concepts in Signal Processing | Definitions and Detailed Examples | Abdelhamid Djari | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786208419677 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 76 pp. Englisch.
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Signal processing is essential for analyzing, modifying, and transforming signals to extract insights or enhance performance in various applications. These lecture notes cover foundational topics, beginning with signal theory, including mathematical tools like Fourier series, Fourier transforms, Parseval's theorem, convolution, and correlation. The notes delve into analog filter analysis and synthesis, addressing passive and active filters such as low-pass, high-pass, band-pass, Chebyshev, and Butterworth types. Key concepts of signal digitization, including sampling, quantization, and reconstruction, are explored alongside discrete transforms like the Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT). Techniques such as windowing are introduced to mitigate spectral leakage. The course also focuses on designing and synthesizing digital filters, emphasizing Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filters, using approaches like windowing and the bilinear transform. These principles prepare students to tackle signal processing challenges in fields like telecommunications and audio engineering.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.
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ISBN 10: 6208419670 ISBN 13: 9786208419677
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Signal processing is essential for analyzing, modifying, and transforming signals to extract insights or enhance performance in various applications. These lecture notes cover foundational topics, beginning with signal theory, including mathematical tools like Fourier series, Fourier transforms, Parseval's theorem, convolution, and correlation. The notes delve into analog filter analysis and synthesis, addressing passive and active filters such as low-pass, high-pass, band-pass, Chebyshev, and Butterworth types. Key concepts of signal digitization, including sampling, quantization, and reconstruction, are explored alongside discrete transforms like the Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT). Techniques such as windowing are introduced to mitigate spectral leakage. The course also focuses on designing and synthesizing digital filters, emphasizing Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filters, using approaches like windowing and the bilinear transform. These principles prepare students to tackle signal processing challenges in fields like telecommunications and audio engineering.