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9781439837825

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Praise for the First Edition In a field as rapidly expanding as digital signal processing (DSP), even the basic topics change over time, both in nature and relative importance. It is important, therefore, to have an up-to-date text that not only covers the fundamentals but also follows a logical development that leaves no gaps that readers must somehow bridge by themselves. Digital Signal Processing with Examples in MATLAB is such a text. --IEEE Signal Processing Magazine, Vol. 22, No. 4, July 2005

This book will guide you through the mathematics and electrical engineering theory using real-world applications. It will also use MATLAB, a software tool that allows you to easily implement signal-processing techniques using the computer and to view the signals graphically. Digital signal processing and MATLAB together open up a fascinating new world of possibilities. The authors of this new edition detail unique perspectives of signal processing and its applications. ! The reader of this text is fortunate to be guided by two wonderful teachers who translate the issues and understanding of using signal processing in the real world to examples and applications that open the door to this fascinating subject. --From the Foreword by Dr. Dolores M. Etter, Texas Instruments Distinguished Chair in Engineering Education and director of the Caruth Institute for Engineering Education, Southern Methodist University, Dallas, Texas, USA Praise for the First Edition In a field as rapidly expanding as digital signal processing (DSP), even the basic topics change over time, both in nature and relative importance. It is important, therefore, to have an up-to-date text that not only covers the fundamentals but also follows a logical development that leaves no gaps that readers must somehow bridge by themselves. Digital Signal Processing with Examples in MATLAB is such a text. --IEEE Signal Processing Magazine, Vol. 22, No. 4, July 2005 It is a pleasure to recommend this book to the serious student of digital signal processing. It is carefully written and illustrated by many useful examples and exercises, and the material is selected to cover the relevant topics in this rapidly developing field of knowledge. --the late Professor Richard W. Hamming, Bell Laboratories

This book will guide you through the mathematics and electrical engineering theory using real-world applications. It will also use MATLAB, a software tool that allows you to easily implement signal-processing techniques using the computer and to view the signals graphically. Digital signal processing and MATLAB together open up a fascinating new world of possibilities. The authors of this new edition detail unique perspectives of signal processing and its applications. ! The reader of this text is fortunate to be guided by two wonderful teachers who translate the issues and understanding of using signal processing in the real world to examples and applications that open the door to this fascinating subject. --From the Foreword by Dr. Dolores M. Etter, Texas Instruments Distinguished Chair in Engineering Education and director of the Caruth Institute for Engineering Education, Southern Methodist University, Dallas, Texas, USA Praise for the First Edition In a field as rapidly expanding as digital signal processing (DSP), even the basic topics change over time, both in nature and relative importance. It is important, therefore, to have an up-to-date text that not only covers the fundamentals but also follows a logical development that leaves no gaps that readers must somehow bridge by themselves. Digital Signal Processing with Examples in MATLAB is such a text. --IEEE Signal Processing Magazine, Vol. 22, No. 4, July 2005 It is a pleasure to recommend this book to the serious student of digital signal processing. It is carefully written and illustrated by many useful examples and exercises, and the material is selected to cover the relevant topics in this rapidly developing field of knowledge. --the late Professor Richard W. Hamming, Bell Laboratories

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Samuel D. Stearns is a professor emeritus at the University of New Mexico, where has been involved in adjunct teaching and research since 1960. An IEEE fellow, Dr. Stearns was also a distinguished member of the technical staff at Sandia National Laboratories for 27 years. His principal technical areas are DSP and adaptive signal processing. Don R. Hush is a technical staff member at the Los Alamos National Laboratory. An IEEE senior member, Dr. Hush was previously a technical staff member at Sandia National Laboratories and a professor at the University of New Mexico. He was also an associate editor for IEEE Transactions on Neural Networks and IEEE Signal Processing Magazine.

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