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Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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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.
Über die Autorin bzw. den Autor: Abdelhamid Djari was born in Algeria, in 1982. He learned his MSc and Ph.D. in Electronics from the University of Jijel, Algeria, in 2011 and 2016, respectively. He currently serves as an associate professor at Larbi Tebessi University. His research interests encompass automatic control, fractional-order control, systems and fuzzy control.
Titel: Basic Concepts in Signal Processing: ...
Verlag: LAP LAMBERT Academic Publishing
Erscheinungsdatum: 2024
Einband: Softcover
Zustand: New