478 C H A P T E R 8: Discrete-Time Signals and Systems
− 30 − 20 − 10 0(a) (c)(b)10 20 30
− 101234567y[n]n− 30 − 20 − 10 0 102030
− 1012345ze[n
]− 30 − 20 −10 0 102030
−2−1012nnzo[n
]FIGURE 8.7
(a) Discrete-time signal, and (b) even and (c) odd components.8.3 Discrete-Time Systems
Just as with continuous-time systems, a discrete-time system is a transformation of a discrete-time
input signalx[n] into a discrete-time output signaly[n]—that is,y[n]=S{x[n]} (8.26)Just as we were when we studied the continuous-time systems, we are interested in dynamic systems
S{.}having the following properties:n Linearity
n Time invariance
n Stability
n CausalityA discrete-time systemSis said to be
n Linear:If for inputsx[n]andv[n]and constantsaandb, it satisfies the following
n Scaling:S{ax[n]}=aS{x[n]}
n Additivity:S{x[n]+v[n]}=S{x[n]}+S{v[n]}
or equivalently ifsuperpositionapplies—that is,S{ax[n]+bv[n]}=aS{x[n]}+bS{v[n]} (8.27)n Time-invariant:If for an inputx[n]with a corresponding outputy[n]=S{x[n]}, the output corresponding
to a delayed or advanced version ofx[n],x[n±M], isy[n±M]=S{x[n±M]}for an integerM.