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Inhaltsangabe
This text is intended for use on introductory graduate-level courses in digital signal processing. Developed by a group of six scholars and teachers, this book offers a collection of exercises and projects which guide students in the use of MATLAB to explore major topical areas in digital signal processing. Features of the text include: projects and exercises which make full use of the power of MATLAB to explore conceptual, analytical and computational issues in digital signal processing; projects which provide hints to introduce pitfalls, limitations and tricks for getting the most out of MATLAB; discussions of both the power and limitations of MATLAB functions and regular explorations of the issues of using built-in functions versus developing code to solve problems; and exercises which consistently reinforce important problem-solving behaviours, such as verifying results, experimenting with parameters as a means of building understanding and intuition, exploring the realism of formulations, comparing theoretical and numerical or measured results, and developing predictions and then comparing them to actual results. A solutions manual with a disk is available as a supplement to this text.
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This text is intended for use on introductory graduate-level courses in digital signal processing. Developed by a group of six scholars and teachers, this book offers a collection of exercises and projects which guide students in the use of MATLAB to explore major topical areas in digital signal processing. Features of the text include: projects and exercises which make full use of the power of MATLAB to explore conceptual, analytical and computational issues in digital signal processing; projects which provide hints to introduce pitfalls, limitations and tricks for getting the most out of MATLAB; discussions of both the power and limitations of MATLAB functions and regular explorations of the issues of using built-in functions versus developing code to solve problems; and exercises which consistently reinforce important problem-solving behaviours, such as verifying results, experimenting with parameters as a means of building understanding and intuition, exploring the realism of formulations, comparing theoretical and numerical or measured results, and developing predictions and then comparing them to actual results. A solutions manual with a disk is available as a supplement to this text.
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