Electr. Engineering - Digital Sig. Processing

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The discussion focuses on determining the characteristics of two continuous-time (CT) systems based on their equations. For the first equation, y(t) = |x(t)|, it is classified as causal and memoryless, as the output at time t only depends on the current input without referencing past values. The second equation, y(t) = ∫_0^t λ x(λ)dλ, is identified as causal and having memory, since its output depends on past input values through integration. Participants also note the distinction between linearity and nonlinearity in the equations, with the first being linear and the second potentially nonlinear. The conversation concludes with a consideration of whether the second equation represents a time-varying or time-invariant system, leaning towards time-varying due to differing outputs from the input.
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Determine if the CT systems are 1) casual or uncasual 2) memory or memoryless.

Definitions:

Casual: If for any time t1, the output response y(t1) at time t1 resulting from input x(t) does not depend on the values of the input x(t) for t > t1.
Memory: If the output at time t1 depends in general on the past values of the input x(t) for some range of values of t up to t=t1.


x(t) is random input and y(t) is the output of x(t)

For Eq1:

y(t) = |x(t)| = \left\{ \begin{array}{l}<br /> x(t)\; \mathrm{if}\, x(t) \geq 0 \\<br /> -x(t)\; \mathrm{if}\, x(t) &lt; 0<br /> \end{array}\right.<br />

I said this system is CASUAL and MEMORYLESS.
  • Casual - because at time t, y(t) will depend only t from the input function x(t), not some other arbitrary t value.
  • Memoryless - because the outputs at time t do not depend on previous inputs.

For Eq 2:


y(t) = \int_0^t\lambda x(\lambda)d\lambda

I said this system is CASUAL and has MEMORY.
  • Casual - because at time t, it doesn't really depend on the future. It only depends on the past, so I'm guessing casual. *This I'm not too sure about*
  • Memory - because the outputs at time t do depend on previous inputs since youre taking the integral from 0 to time t. *I'm almost sure about this one*
 
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Both your answers look good to me. By the way, it's "causal" not "casual". :wink:
 
learningphysics said:
Both your answers look good to me. By the way, it's "causal" not "casual". :wink:

Hahha, I just realized that. Wow.

Thanks tho.
 
Now, Eq1 is obviously linear, but when I graph eq2, it seems to be nonlinear... does that make sense?
 
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Yes.

- Warren
 
chroot said:
Yes.

- Warren

is it because when you take derivatives and integrals, the terms will become nonlinear

also, in the one DefualtName posted, for equation 2, would that be a time varying or time invariant one. i would say varying because the actual output will be different from the input
 
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