EE200_Weber_8-24

EE200_Weber_8-24 - signals A discrete-time signal is the...

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1 EE 200 Signals • Signals carry (or store) information. • Something is varied to represent information. • That “something” can be electrical, mechanical, light, etc. • We need to represent signals by mathematical functions in order to work with them. • Functions that describe signals have a domain and range that we need to understand.
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2 EE 200 Signals • Signals can be variations over time z = f(t) • A “continuous-time” signal is a function of a one independent variable, t Domain = ? Range = ? • Signals can also be continuous in the spatial domain z = f(x,y)
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3 EE 200 Signals • Digital devices have a hard time with continuous
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Unformatted text preview: signals A discrete-time signal is the result of sampling a continuous signal at defined intervals. z = f[n] = f(nT) Domain of signal is set of discrete integer values Range can be either continuous or discrete values Signal can take on a finite number of values 4 EE 200 Signals Spatial signals can be sampled in two dimensions z = f[n,m] = f(nS x , mS y ) The signal range can be discrete For any sampled signal, is it possible to recover the continuous signal from the discrete one? Answer: sort of...
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EE200_Weber_8-24 - signals A discrete-time signal is the...

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