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Zusatztext "The book is written with a high pedagogical mastership; the style of exposition is clear and attractive! the typographical presentation is excellent . . . Much valuable information is contained in the book at a moderate mathematical level . . . we think the present volume is an excellent book on SS and can be a serious candidate for a reference book in presenting the SS domain." - Dumitru Stanomir!in Zentralblatt Math! 2009 Informationen zum Autor Alexander D. Poularikas Klappentext Taking a pedagogical approach, the author builds a solid foundation in signal processing as well as analog and digital systems. The book first introduces orthogonal signals, linear and time-invariant continuous-time systems, discrete-type systems and their solution, periodic signals represented by Fourier series, Gibbs's phenomenon, and the sampling theorem. After chapters on various transforms, the book discusses analog filter design, both finite and infinite impulse response digital filters, random digital signal processing, including the nonparametric spectral estimation. The final chapter characterizes different types of filtering and their uses, specifically, the use of Wiener filtering and least mean squares filtering. Zusammenfassung Emphasizes the fundamentals of analog and digital signals and systems. Offering insights into the basic concepts and methods, this text presents a variety of examples that illustrate a wide range of applications, from microelectromechanical to worldwide communication systems. Inhaltsverzeichnis Signals and Their Functional Representation. Linear Continuous-Time Systems. Discrete Systems. Periodic Continuous Signals and Their Spectrums. Nonperiodic Signals and Their Fourier Transform. Sampling of Continuous Signals. Discrete-Time Transforms. Laplace Transform. The Z-Transform, Difference Equations, and Discrete Systems. Analog Filter Design. Finite Impulse Response (FIR) Filters. Infinite Impulse Response (IIR) Filters. Random Variables, Sequences, and Power Spectra Densities. Least Square System Design, Wiener Filter, and the LMS Filter. Appendices....
