MODULE-1 - MODULE 1 INTRODUCTION Intoduction to the Course...

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MODULE 1 INTRODUCTION Intoduction to the Course Analog Versus Digital Processing Page 1.1
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INDEX Good Books Introduction Analog Signal Processing Model Discrete Signal Processing Model Theoretical vs. Practical Discrete Signals Two Digital Signal Processing System Models Why Consider Digital Processing ? The Analog Advantage Interpretations of Digital Signals Concept of Digital Frequency MAIN INDEX Page 1.2
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GOOD BOOKS index General System and Transform Theory Oppenheim, Willsky & Young, Signals and Systems. Papoulis, The Fourier Integral and Its Applications. Digital Signal Processing Oppenheim & Schafer, Digital Signal Processing. Oppenheim & Schafer, Discrete-Time Signal Processing . Rabiner & Gold, Theory & Applications of DSP. Crochiere and Rabiner, Multirate Digital Signal Processing. Hamming, Digital Filters. Brigham, The Fast Fourier Transform. Dudgeon & Mersereau, Multidimensional Signal Processing. Antoniou, Digital Filters: Analysis and Design. Applications of Digital Signal Processing Bovik, The Handbook of Image and Video Processing. Rabiner & Schafer, Digital Processing of Speech Signals. Gonzalez & Woods, Digital Image Processing. Castleman, Digital Image Processing. Collections of Papers Rabinar & Rader (Eds), Digital Signal Processing, vols I and II (IEEE Press). Chellappa, Digital Image Processing, IEEE Computer Society Chellappa, Digital Image Analysis, IEEE Computer Society Page 1.3
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INTRODUCTION index READ : Chapter 1 of Oppenheim & Schafer. Digital vs. Analog Signals Historically (before computers and digital processors), EEs were concerned primarily with continuous-time or continuous-space signals - continuously defined on their domain. Examples: - the measured current at a node in a circuit - the measured amplitude of an electromagnetic wave
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