The impulse response h(t) of a linear time invariant continuous time system is described by h(t) = exp( t)u(t) + exp( t)u(-t), where u(-t) denotes the unit step function, and and are real constants. This system is stable if
GATE ECE · Signals And Systems
Generate GATE-level questions on LTI Systems. Focus on: 1. Impulse response, Convolution sum and Convolution integral. 2. System characteristics: stability and causality.
26 questions · 6 PYQs · 0 AI practice · GATE ECE 2027
The impulse response h(t) of a linear time invariant continuous time system is described by h(t) = exp( t)u(t) + exp( t)u(-t), where u(-t) denotes the unit step function, and and are real constants. This system is stable if
A discrete time linear shift-invariant system has an impulse response h[n] with h[0]=1, h[1]=-1, h[2]=2, and zero otherwise The system is given an input sequence x[n] with x[0]=x[2]=1, and zero otherwise. The number of nonzero samples in the output sequence y[n], and the value of y[2] are respectively
Which of the following can be impulse response of a causal system ?

The impulse response h[n] of a linear time-invariant system is given by h[n]=u[n+3] + u[n-2) - 2n[n-7] where u[n] is the unit step sequence. The above system is
Convolution of x(t+5) with impulse function (t-7) is equal to
The impulse response functions of four linear systems S1, S2, S3, S4 are given respectively by where U(t) is the step function. Which of these systems is time invariant, causal and stable?
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