Let's break down the given exercise step by step.

Part I - Signal $x(t)$

You are given a signal $x(t)$ with a specific shape that appears to be piecewise linear. The question asks you to:

1. Determine and plot the graph of:
   • $x(2t+2)$
   • $x(2 - t/3)$

Transformation of Signals:

• For $x(2t+2)$:
  This involves two transformations:

  1. A time shift to the left by 1 unit (since $t + 2$).
  2. A time compression (or scaling) by a factor of 2 (since $2t$).

• For $x(2 - t/3)$:
  This involves:

  1. A time reversal (since there's a negative sign with $t$).
  2. A time dilation (expansion) by a factor of 3 (since $t/3$).
  3. A shift to the right by 2 units.

Step Function Interpretation:

The additional expression mentions:
$[x(t) + x(2 - t)]U(1 - t)$
where $U(t)$ represents the Heaviside unit step function. This likely restricts the signal to be active only for $t < 1$.

Part II - Signal $h(t)$

Next, you are asked to analyze the signal $h(t)$ and determine several new signals based on combinations with $h(t)$ and the unit step function.

The signals to determine:

• $\frac{1}{2} h(t) \cdot U(t) + h(-t) \cdot U(t-1)$
• $h(t) \{ U(t+1) - U(t-1) \}$
• $x(t) \cdot h(-t)$

These involve convolutions and the combination of piecewise signals, where $U(t)$ determines where the signal is "active."

Would you like a step-by-step breakdown of how to compute and graph each transformation?

Also, here are some follow-up questions to expand your understanding:

1. What is the effect of scaling on the time-domain signal?
2. How does the time reversal affect the original signal's shape?
3. Can you identify where the unit step function truncates the signals?
4. How would you approach solving for $h(t) \cdot U(t+1)$?
5. What are common applications of piecewise functions like $x(t)$ and $h(t)$ in signal processing?

Tip:

For complex signal transformations, it can be helpful to visualize them step by step, starting with shifting, scaling, or reflecting simpler parts of the signal.