A discrete-time system can be

(1) Static or dynamic Linear or nonlinear (3) Time invariant or time varying (4) Causal or noncausal (5) Stable or unstable Examine the following systems with respect to the properties above. (a) y(n) = cos[x (n)] (b) y(n) = x (k) n+1 k=- (c) y(n) = x(n) cos(won) (d) y(n) = x(-n+2) (e) y(n)= Trun[x(n)], where Trun[x (n)] denotes the integer part of x(n), obtained by truncation (f) y(n) Round[x (n)], where Round[x(n)] denotes the integer part of x(n) ob- tained by rounding Remark: The systems in parts (e) and (f) are quantizers that perform truncation and rounding, respectively. = (g) y(n) = x(n)| (h) y(n) = x (n)u(n) (i) y(n) = x(n) + nx(n+1) (j) y(n) = x(2n) (k) y(n) = { [x(n), if x(n) 0 if x(n) < 0 (1) y(n) = x(-n) (m) y(n) = sign[x(n)] (n) The ideal sampling system with input xa(t) and output x(n) xa (nT), -