A system is BIBO (bounded-input, bounded-output) stable if every bounded input X(t) yields a bounded output...
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?
A system with input x(t) and output y(t) is described by y(t) = 5 sin(x(t)). Identify the properties of the given system. Select one: a. Non-linear, time invariant, BIBO stable, memoryless, and causal b. Non-linear, time invariant, unstable, memoryless, and non-causal c. Linear, time varying, unstable, not memoryless, and non-causal d. Linear, time invariant, BIBO stable, not memoryless, and non-causal e. Linear, time invariant, BIBO stable, memoryless, and non-causal 0
is the system y(n)=x(n)+0.1x(n-1) a bounded-input bounded output stable
14. Which of the following define a BIBO (Bounded input bounded output) system? One or more answers could be correct. S H(s) (s-5) (s+10) 1 H(s) = (s+5) s(s+10) H(s) (s+5) (s+100)(s+10) H(S) = $2+100 H(s) = s3
Q.5 (a) Show that a linear, time-invariant, discrete-time system is stable in the bounded- input bounded-output sense if, and only if the unit sample response of the system, h[n], is absolutely summable, that is, Alfa]]<00 | [n]| < do ***** (13 marks] (b) Consider a linear, time-invariant discrete-time system with unit sample response, hin), given by hin] = a[n] – đặn – 3 where [n] is the unit sample sequence. (1) Is the system stable in the bounded-input bounded-output sense?...
The input x(t) and output y(t) of a causal LTI system are related through the block-diagram representation shown in Figure P 9.35. Determine a differential equation relating y(t) and x(t). is this system stable?
For a continuous time linear time-invariant system, the input-output relation is the following (x(t) the input, y(t) the output): , where h(t) is the impulse response function of the system. Please explain why a signal like e/“* is always an eigenvector of this linear map for any w. Also, if ¥(w),X(w),and H(w) are the Fourier transforms of y(t),x(t),and h(t), respectively. Please derive in detail the relation between Y(w),X(w),and H(w), which means to reproduce the proof of the basic convolution property...
1. A Consider the following nonhomogeneous differential equation: j(t) + (a - b)y(t) - aby(t) = x(t). Assume a and b are both strictly positive. The answers to nearly all of the questions below will be in terms of a and b. (a) (5 points) Is this system internally stable or unstable? Why? (b) (10 points) For arbitrary inital conditions yo and yo, write the zero-input response (ZIR) for t > 0. (c) (10 points) Derive this system's impulse response...
The unit impulse response and the input to an LTI system are given by: h(t) u(t) - u(t - 4) x(t) e2[u(t)-u(t - 4)] x(t) 1 y(t) h(t) 1. Determine the output signal, i.e.y(t), you may use any method. 2. Is this system memoryless? Why? 3. Is this system causal? Why? 4. Is this system BIBO stable? Why?
Consider a causal, linear and time-invariant system of continuous time, with an input-output relation that obeys the following linear differential equation: y(t) + 2y(t) = x(t), where x(t) and y(t) stand for the input and output signals of the system, respectively, and the dot symbol over a signal denotes its first-order derivative with respect to time t. Use the Laplace transform to compute the output y(t) of the system, given the initial condition y(0-) = V2 and the input signal...