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Analog and Digital Signal Processing provides a thorough yet mathematically accessible introduction to signal processing. With the increasing presence of digital signal processing (DSP) in everyday life, in the form of devices such as CD and DVD players, digital cameras, wireless telephones, and voice recognition, it has accordingly become a central element in the design of a variety of systems and applications. This book responds to this trend by presenting readers with a strong foundation of fundamental DSP concepts and designs. Unlike traditional DSP books, a computational approach is used to help readers spend less time deciphering mathematical complexities and more time implementing practical DSP techniques. MATLAB, an industry favorite scientific software package, is used to conduct the computations of the concepts discussed. With coverage of introductory concepts such as sampling, frequency analysis, transfer functions, and filter design, as well as advanced topics like statistical signal processing, adaptive filters, image processing, and wavelet analysis, this is an ideal resource for readers of all levels who are seeking a comprehensive understanding of relevant DSP concepts for today's industry professionals. Key Features End-of-chapter exercises allow the reader to further explore and apply key topics. Computational approach to even advanced topics makes the material accessible to all readers, regardless of experience level. Detailed examples of principles and applications illustrate important techniques. Integration of continuous-time and discrete-time signal theory clarifies the connection between analog and digital signal processing. MATLAB code is placed sequentially throughout the book, illustrating how DSP algorithms actually work in practice. The custom M-files are contained in the CD that accompanies this book and are identified by the .m file extension. Table Of Contents Preface and Acknowledgments 1. An Introduction to Signal Processing 2. Describing Signals 3. Continuous-Time Systems and Discrete-Time Systems 4. The Frequency Domain of Digital Signals and Systems 5. Finite Impulse Response Filter Design 6. Infinite Impulse Response Filter Design 7. Over-Sampling and Multi-Rate DSP Systems 8. Correlation and Auto-correlation of Signals 9. Adaptive Filters 10. Basic Digital Signal Processing of Images 11. Wavelets 12. Computational Case