This is a textbook introducing signal processing to electrical and computer engineering university students. Part II covers discrete-time and continuous-time linear systems, Laplace and Z transforms, sampling theory, and their practical applications.

This is a textbook introducing signal processing to electrical and computer engineering university students. Parts I & II cover the Fourier analysis of signals and systems in discrete and continuous time domains, Laplace transform, Z transform, sampling theory, and their practical applications. A unique approach is taken whereby discrete and continuous signal processing concepts are presented side-by-side, on pages opposite each other, in the introductory chapters of the text.

This book introduces the basic theory of digital signal processing, with emphasis on real-world applications.

This textbook gives a fresh approach to an introductory course in signal processing. Its unique feature is to alternate chapters on continuous-time (analog) and discrete-time (digital) signal processing concepts in a parallel and synchronized manner. This presentation style helps readers to realize and understand the close relationships between continuous and discrete time signal processing, and lays a solid foundation for the study of practical applications such as the analysis and design of analog and digital filters.The compendium provides motivation and necessary mathematical rigor. It generalizes the Fourier transform to Laplace and Z transforms, applies these transforms to linear system analysis, covers the time and frequency-domain analysis of differential and difference equations, and presents practical applications of these techniques to convince readers of their usefulness. MATLAB® examples are provided throughout, and over 100 pages of solved homework problems are included in the appendix.

This is a textbook introducing signal processing to electrical and computer engineering university students. Part I covers Fourier analysis of continuous-time and discrete-time signals. A unique approach is taken whereby discrete and continuous signal processing concepts are presented side-by-side, on pages opposite each other, throughout the text.

The aim of this book is to introduce the general area of Digital Signal Processing from a practical point of view with a working minimum of mathematics. The emphasis is placed on the practical applications of DSP: implementation issues, tricks and pitfalls. Intuitive explanations and appropriate examples are used to develop a fundamental understanding of DSP theory, laying a firm foundation for the reader to pursue the matter further. The reader will develop a clear understanding of DSP technology in a variety of fields from process control to communications.* Covers the use of DSP in different engineering sectors, from communications to process control* Ideal for a wide audience wanting to take advantage of the strong movement towards digital signal processing techniques in the engineering world * Includes numerous practical exercises and diagrams covering many of the fundamental aspects of digital signal processing