Title
Essentials of Digital Signal Processing,Used
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This textbook offers a fresh approach to digital signal processing (DSP) that combines heuristic reasoning and physical appreciation with sound mathematical methods to illuminate DSP concepts and practices. It uses metaphors, analogies, and creative explanations along with carefully selected examples and exercises to provide deep and intuitive insights into DSP concepts. Practical DSP requires hybrid systems including both discrete and continuoustime components. This book follows a holistic approach and presents discretetime processing as a seamless continuation of continuoustime signals and systems, beginning with a review of continuoustime signals and systems, frequency response, and filtering. The synergistic combination of continuoustime and discretetime perspectives leads to a deeper appreciation and understanding of DSP concepts and practices. Notable Features 1. Written for upperlevel undergraduates 2. Provides an intuitive understanding and physical appreciation of essential DSP concepts without sacrificing mathematical rigor 3. Illustrates concepts with 500 highquality figures, more than 170 fully worked examples, and hundreds of endofchapter problems 4. Encourages student learning with more than 150 drill exercises, including complete and detailed solutions 5. Maintains strong ties to continuoustime signals and systems concepts, with immediate access to background material with a notationally consistent format, helping readers build on their previous knowledge 6. Seamlessly integrates MATLAB throughout the text to enhance learning 7. Develops MATLAB code from a basic level to reinforce connections to underlying theory and sound DSP practice
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