Signals and Systems (System Properties)

In summary, the system described by the given input-output equation is linear, causal, and time-invariant, and can be inferred to be memoryless based on these principles.
  • #1
rht1369
4
0

Homework Statement



Indicate following properties for the system with the given input-output equation:
-Linearity, Causality, Time Invariance, memoryless or not

and explain why?

Homework Equations



y(t) = ∫t-∞ (t - λ) x(λ) dλ

The Attempt at a Solution


lets say X(t) is the antiderivative of x(t), then:

y(t) = t ∫t-∞ x(λ) - ∫t-∞ λ x(λ) dλ
= t (X(t) - X(-∞)) - (t X(t) - X(t) - (-∞ X(-∞) - X(-∞)))

now we have the relation between y(t) and X(t) but how can we obtain the relation between y(t) and x(t) to find out about the causality and memory properties?
can this be a clue or I am doing wrong?
 
Physics news on Phys.org
  • #2



Based on the given input-output equation, the system can be described as linear, causal, and time-invariant. This is because the equation follows the principles of linearity, causality, and time invariance.

Firstly, the equation is linear because it is a linear combination of the input signal x(t). This means that the output y(t) is directly proportional to the input x(t) and any scaling or addition of the input will result in a corresponding scaling or addition of the output. This is evident in the equation where the integral of the input signal x(λ) is multiplied by t, showing that any changes in the input signal will result in corresponding changes in the output signal.

Secondly, the equation is causal because the output y(t) only depends on the input x(λ) for values of λ less than or equal to t. This means that the output is not affected by any future values of the input, which is a characteristic of causal systems.

Thirdly, the equation is time-invariant because the output y(t) is not affected by any time shifts or delays in the input signal x(t). This can be seen in the equation where the integral is taken from -∞ to t, meaning that the output is a function of the input at all time points, not just a specific time point.

As for the memoryless property, it is difficult to determine based on the given equation alone. However, based on the principles of linearity, causality, and time-invariance, it can be inferred that the system is memoryless. This is because a memoryless system is a special case of a causal and time-invariant system, where the output at any given time is only dependent on the input at that same time. Since the given system is both causal and time-invariant, it can be concluded that it is also memoryless.
 

Related to Signals and Systems (System Properties)

What is a signal?

A signal is a physical quantity that varies over time or space and contains information. Examples of signals include sound waves, electromagnetic waves, and voltage levels.

What are the basic properties of a system?

The basic properties of a system include linearity, time-invariance, causality, stability, and invertibility. Linearity means that the output of the system is directly proportional to the input. Time-invariance means that the system's behavior does not change over time. Causality means that the output of the system depends only on the current and past inputs. Stability means that the system's output does not grow infinitely with a finite input. Invertibility means that the input can be uniquely determined from the output.

What is the difference between a continuous-time and a discrete-time system?

A continuous-time system operates on a continuous signal that varies continuously over time, while a discrete-time system operates on a discrete signal that changes at specific time intervals. In other words, a continuous-time system deals with analog signals, while a discrete-time system deals with digital signals.

What are the properties of a stable system?

A stable system is one whose output does not grow infinitely with a finite input. This means that the system must have bounded inputs and outputs, and any oscillations in the output must eventually die out. A stable system is also characterized by the presence of a finite impulse response (FIR) or a bounded-input bounded-output (BIBO) system.

What is the difference between a causal and a non-causal system?

A causal system is one in which the output only depends on the current and past inputs. In other words, the output cannot be affected by future inputs. On the other hand, a non-causal system can produce outputs that depend on future inputs. Non-causal systems are often used in predictive modeling or control systems.

Similar threads

  • Engineering and Comp Sci Homework Help
Replies
4
Views
1K
  • Engineering and Comp Sci Homework Help
Replies
13
Views
6K
  • Engineering and Comp Sci Homework Help
Replies
3
Views
899
  • Engineering and Comp Sci Homework Help
Replies
5
Views
1K
  • Engineering and Comp Sci Homework Help
Replies
7
Views
2K
  • Engineering and Comp Sci Homework Help
Replies
6
Views
1K
  • Engineering and Comp Sci Homework Help
Replies
6
Views
2K
  • Engineering and Comp Sci Homework Help
Replies
1
Views
1K
  • Engineering and Comp Sci Homework Help
Replies
3
Views
1K
  • Calculus and Beyond Homework Help
Replies
3
Views
92
Back
Top