lecture 1 intro

lecture 1 intro - Linear Systems Analysis Lecture 1...

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Linear Systems Analysis Lecture 1 Introduction to signals and systems Signals: single valued functions that carry information (e.g. voice, radar, control heart EKG, brainwaves, 2-D pictures {x,y}, 3-D video {x,y,t}) Systems: perform some kind of manipulation (processing) of signals (e.g. microphone, speaker, amplifier, demodulator) Continuous time signals – signals defined at every instant in time. Usually denoted f(t) for all t (- , ). In reality, no signal starts from - and lasts forever but it is convenient to represent signals this way. Discrete time signals – signals defined only at discrete instants of time, but have a continuous range of amplitudes Digital signals – discrete time signals with discrete (quantized) amplitudes
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Linear Systems Analysis Lecture 1 Introduction to signals and systems Analog signal Digital Signal
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Linear Systems Analysis Lecture 1 Introduction to signals and systems Elementary continuous time functions: Constant f(t) : = 1 , for all t
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Linear Systems Analysis Lecture 1 Introduction to signals and systems unit step q(t) : = 1, for t 0 0, for t < 0
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Linear Systems Analysis Lecture 1 Introduction to signals and systems unit ramp r(t) : = t for t 0 0 for t < 0
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This note was uploaded on 02/06/2012 for the course EE 2120 taught by Professor Aravena during the Fall '08 term at LSU.

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lecture 1 intro - Linear Systems Analysis Lecture 1...

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