Module 1 : Signals in Natural Domain
Lecture 10 : Properties of LTI Systems
 
   Conclusion:
    In this lecture you have learnt:
Convolution obeys commutative, distributive (over addition) and associative properties in both continuous and discrete domains.

Commutativity implies the system with input signal x(t) and impulse response h(t) and the other with input signal h(t) and impulse response x(t) both give the same output y(t).

 

Distributivity implies a parallel combination of  LTI  systems can be replaced by an equivalent  LTI system which is described by the sum of the individual impulse responses in the parallel combination.

 

Associativity implies the unit impulse response of a cascaded  LTI  system is independent of the order in which the individual  LTI  systems are connected.

A system is memoryless if and only if h[n] = 0 for all non-zero  n .

 

LTI system is invertible if the the convolution of the impulse response and its inverse results in unit impulse

 

For a causal discrete time LTI system, h[n] = 0 for all n<0. (similarly for continuous time)

For a stable system ,the impulse response must be absolutely integrable.

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