Q.5 (a) Show that a linear, time-invariant, discrete-time system is stable in the bounded- input bounded-output...
4. A discrete time system is both linear and time invariant. Suppose the output due to a unit impulse input x[n] = o[n] is h[n] as given Fig. 3a. a. Find & plot the output y[n] due to an input x[n] = 28[n] + [n-1] b. Find & plot the output y[n] due to an input In Fig. 3b. hin (a) x[n] (b) Figure 3 for Problem 4
6. (15) Consider the following causal linear time-invariant (LTT) discrete-time filter with input in and output yn described by y[n] = x[n] – rn - 2 for n 20 . Is this a finite impulse response (FIR) or infinite impulse response (IIR) filter? Why? • What are the initial conditions and their values for this causal and linear time-invariant system? Why? • Draw the block diagram of the filter relating input x[n) and output y[n] • Derive a formula for...
Memory less ? Causal ? Bounded input bounded output stable ? Is the system invertible ? Linear ? Time invariant? Question (1) ls the system S, given by (6 Marka y(t) = 3x(t-1)-2 a) Memoryless?
1. Consider a discrete-time system H with input x[n] and output y[n]Hn (a) Define the following general properties of system H () memoryless;(ii BIBO stable; (ii) time-invariant. (b) Consider the DT system given by the input-output relation Indicate whether or not the above properties are satisfied by this system and justify your answer.
Problem 9.5 (Superposition input) A linear time-invariant system has frequency response The input to the system is zin] = 5 + 20 cos(0.5mn + 0.25m) + 108[n-3]. Use superposition to determine the corresponding output vin] of the LTI system for-oo < nく00. Problem 9.5 (Superposition input) A linear time-invariant system has frequency response The input to the system is zin] = 5 + 20 cos(0.5mn + 0.25m) + 108[n-3]. Use superposition to determine the corresponding output vin] of the LTI...
A system is BIBO (bounded-input, bounded-output) stable if every bounded input X(t) yields a bounded output y(t). A system is NOT BIBO stable if there exists any bounded input that results in an unbounded output. By "bounded", we mean that the magnitude of the signal is always less than some finite number. (The signal x(t)=sin(t) would be considered a bounded signal, but X(t)t would not be a bounded signal.) Signals that are infinite in time, but with a magnitude that...
Q8) Consider the following causal linear time-invariant (LTI) discrete-time filter with input x[n] and output y[n] described by bx[n-21- ax[n-3 for n 2 0, where a and b are real-valued positive coefficients. A) Is this a finite impulse response (FIR) or infinite impulse response (IIR) filter? Why? B) What are the initial conditions and their values? Why? C) Draw the block diagram of the filter relating input x[n] and output y[n] D) Derive a formula for the transfer function in...
Consider the discrete-time system with input x[n] and output y[n] described by : y[n]=x[n]u[2-n] Which of the following properties does this system possess? Justify your answer in each case. Do not use Laplace transforms a) Memoryless b)Time-invariant c) Linear d)Casual e) Stable
Consider a discrete-time system that is linear (but not necessarily time-invariant), and where: - if the input x[n] is even, then the output is y[n]= x[n-1] - if the input x[n] is odd, then the output y[n]= x [n=1] Find the ouput of this system if the inpus is (a) δ [n] (b) u[n]. (Do not use la place transform) Hint: if a signal is neither even nor odd, then you can write it as a sum of an even...
Consider a linear time-invariant system with impulse response hin (-1, n o 2, n 1 h[n]--1, n=2 0, otherwise (a) Determine the system frequency response H(e"). Then compute the magnitude and (b) Does the system have a linear phase? Briefly explain your answer. (2 marks) (c) Compute the system output yin] for all values of n if the input r[n] has the form of: phase of H(e (6 marks) 1,n=1 2, n 2 n3, n 3 4, n-4 0, otherwise...