This text introduces the concepts and techniques used in the study of signals and linear systems. It illustrates how these techniques are applied in solving problems in digital signal processing, communication systems, and control systems and provides an integrated and balanced treatment of continuous-time and discrete-time concepts as is consistent with their roles in engineering practice. Examples of real world systems are used to give strong motivation for the study of signals and systems subject matter. The four Fourier representations are treated in parallel to emphasize similarities and differences between them. Relationships between different Fourier representations are motivated from applications, such as sampling, which involves both continuous-time and discrete-time signals in one system and thus naturally relates the discrete-time and continuous-time Fourier transforms. MATLAB is integrated in a way that preserves complete instructor flexibility. There is a separate section in each chapter devoted to exploring the concepts from the chapter with MATLAB. The instructor can easily skip this section, or have the students work through it in parallel with the rest of the sections in the chapter. Each chapter also has numerous computer experiments designed to be performed with MATLAB.
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Reaching the conceptual peaks of signals and systems can be a challenge. But well–known authors Simon Haykin and Barry Van Veen help you clearly see connections among concepts and recognize the relevance of signals and systems to the broader field of electrical engineering.
Features
∗ New problems: The new edition includes opportunities for demonstration and practice throughout.
∗ New themed examples: Six new themed examples demonstrate the range of problems to which signal and system concepts can be applied, including RC circuits, MEMS accelerometer, radar range measurement, moving average system, multipath communication channel, and first order recursive discrete time computation. The authors revisit these themed examples using different mathematical tools to show how each tool give unique insight into the problem at hand in the context of a real world problem.
∗ New coverage throughout: Contains new sections on MEMS and derivatives of the unit–impulse function, the Costas receiver for demodulation of double sideband–suppressed carrier–modulated signals, and the fundamental notion of feedback and ′why feedback′, as well as more detailed treatment of wavelets and the stability of nonlinear feedback systems. A new section on noise has also been added to Chapter 1. Chapter 4 now focuses exclusively on building bridges between the four basic Fourier representation for applications in which there is a missing of signal classes.
∗ Many opportunities for practice: All examples are based on real–world problems and emphasize the correct mathematical steps needed for applying the theory. Problems vary from drill–based to complex, so you′ll have plenty of room to practice.
∗ Integrated, flexible coverage of MATLAB: MATLAB techniques and uses, as well as MATLAB practice problems, and provided at the end of each chapter.
Simon Haykin, McMaster University Barry Van Veen, University of Wisconsin - Madison
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