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lecture8 - EE455/ 591 EE455/ 591 Digitizing Analog Signals...

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Unformatted text preview: EE455/ 591 EE455/ 591 Digitizing Analog Signals Digitizing Analog Signals Reading: Section 1.3.1 Reading: Section 1.3.1 Topics: Topics: 1. When, Why, and How to Digitize 1. When, Why, and How to Digitize 2. Nyquist Sampling Theorem 2. Nyquist Sampling Theorem 3. Proof of Nyquist Sampling Theorem 3. Proof of Nyquist Sampling Theorem 4. Signal Reconstruction from Samples 4. Signal Reconstruction from Samples 1. When did the Digital Revolution Begin? History of Digital Whatever: From analog computing to digital computing (Pascal/ Babbage/ Turing/ Von Neumann) From analog computing to digital communication (Nyquist/ Shannon) From analog storage to digital storage (CD, DVD, HDTV, digital camera) 1. Why Digitize Analog I nformation? Why convert analog quantities, e.g. voltage into 0s and 1s? I nformation is often digital to start with (e.g. text, data) Digital information can be reproduced, transmitted or stored distortion free. I t is not subject to progressive degradation each time transmitted, stored, or reproduced Easy and cheap to process data with integrated circuits High density storage media available (e.g. Hard Drives, DVD, Blue-Ray Disks, etc.) Digital signal processing allows extraction of relevant information in an analog signal, leading to significant reduction in volume of data. For example Audio and video signals can be compressed into fewer bits Higher cognitive level representation (noise, data, knowledge, ) 1. How to Digitize an Analog Signal?1....
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This note was uploaded on 11/01/2009 for the course EEE 455 taught by Professor Hui during the Spring '09 term at ASU.

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lecture8 - EE455/ 591 EE455/ 591 Digitizing Analog Signals...

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