1 / 18

Continuous-time Signals

Continuous-time Signals. ELEC 309 Prof. Siripong Potisuk. Signal Transformations. Operations Performed on the Independent and Dependent Variables Reflection or Time Reversal or Folding Time Shifting Time Scaling Amplitude Scaling Amplitude Shifting

Download Presentation

Continuous-time Signals

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Continuous-time Signals ELEC 309 Prof. Siripong Potisuk

  2. Signal Transformations Operations Performed on the Independent and Dependent Variables • Reflection or Time Reversal or Folding • Time Shifting • Time Scaling • Amplitude Scaling • Amplitude Shifting Note: The independent variable is assumed to be t representing time.

  3. For CT signals, replace t by –t Time reversal or Folding or Reflection about t = 0 x(-t) is the reflected version of x(t) obtained from x(t) by a reflection about t =0

  4. Time Shifting (Advance or Delay)

  5. Time Scaling

  6. Amplitude Scaling Multiply x(t) by A, where A is the scaling factor If A is negative, the original signal x(t) is also reflected about the horizontal axis.

  7. Amplitude Shifting Add a constant A to x(t), where A is the amount of shift (upward or downward)

  8. Signal Characteristics Deterministic vs. Random Finite-length vs. Infinite-length Real vs. Complex Conjugate-symmetric vs. Conjugate-antisymmetric Even vs. Odd Periodic vs. Aperiodic (Non-periodic) Right-sided/ Left-sided/ Two-sided Causal vs. Anti-causal

  9. Even & Odd CT Signals A complex-valued signal x(t) is said to be A real-valued signal x(t) is said to be

  10. Even-Odd Signal Decomposition A CT signal can be decomposed into its even and odd parts.

  11. CT Periodic Signals A CT periodic signal x(t) is a function of time that satisfies the condition T is a positive constant T0 is the smallest value of T called the fundamental period of x(t) f0 = 1/T0 called the fundamental frequency w0 = 2pf0 called the angular frequency

  12. A Sum of CT Periodic Signals

  13. CT Aperiodic (nonperiodic) Signals Does not satisfy the condition Periodic extension accomplished by using summation and time-shifting operation

  14. Signal Metrics Energy Power Magnitude Area

  15. Energy A finite-length signal with finite amplitude have finite energy. An infinite-length signal with finite amplitude may or may not have finite energy.

  16. Power A finite energy signal with zero average power is called an ENERGY signal. An infinite energy signal with finite average power is called a POWER signal.

  17. Average Power Average over one period for periodic signal, e.g., Root-mean-square power:

  18. Magnitude & Area

More Related