EECS 1520 Lecture 2: Analog vs. Digital Information

• School: York University
• Department: Electrical Engineering and Computer Science
• Course: EECS 1520
• Professor: Gerald Kio

Document Summary

-represent enough info from infinite range to meet computational needs. -only operates in fixed amount of data at a time. -amount and type of data must be ahead of time. -digitization of video: 24-30 still frames per sec. -digitization of audio: sampling: converts continuous variation to discrete snapshots, truncation: converts infinite value range to finite. Basis for representing digital info is binary digit (bit) Bit holds one of two values: 0 or 1. Often combined in groups of eight to rep data. Can be combined w/ metric prefixes for larger magnitudes. -use binary to rep only 1 of 2 states benefits cost and reliability. -analog data: continuous representation, analogous to the actual information it represents. -digital data: discrete representation, breaking the info up into separate elements. -analog signals continually fluctuate in voltage up and down. -digital signals have only high or low state. -voltage of signal fluctuates due to noise produced by environmental effects.