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Discrete-time Signals

Discrete-time Signals. Prof. Siripong Potisuk. Mathematical Representation. x [ n ] represents a DT signal, i.e., a sequence of numbers defined only at integer values of n (undefined for noninteger values of n ) Each number x [ n ] is called a sample

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Discrete-time Signals

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  1. Discrete-time Signals Prof. Siripong Potisuk

  2. Mathematical Representation • x[n] represents a DT signal, i.e., a sequence of numbers defined only at integer values of n (undefined for noninteger values of n) • Each number x[n] is called a sample • x[n] may be a sample from an analog signal xd[n] = xa(nTs), where Ts = sampling period

  3. Discrete-time Signals • Discrete-time, continuous-valued amplitude (sampled-data signal) • Discrete-time, discrete-valued amplitude (digital signal) • In practice, we work with digital signals

  4. Signal Transformations Operations performed on the independent and the dependent variables • Reflection or Time Reversal or Folding • Time Shifting • Time Scaling • Amplitude Scaling • Amplitude Shifting Note: The independent variable is assumed to be n representing sample number.

  5. For DT signals, replace n by –n, resulting in Time reversal or Folding or Reflection y[n] is the reflected version of x[n] about n = 0 (i.e., the vertical axis).

  6. Time Shifting (Advance or Delay)

  7. Time Scaling Sampling rate alteration

  8. For DT signals, multiply x[n] by the scaling factor A, where A is a real constant. Amplitude Scaling If A is negative, y[n] is the amplitude-scaled and reflected version of x[n] about the horizontal axis

  9. For DT signals, add a shifting factor A to x[n], where A is a real constant. Amplitude Shifting

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

  11. Even & Odd DT Signals A complex-valued sequence x[n] is said to be A real-valued signal x[n]) is said to be

  12. DT Periodic Signals A DT signal x[n] is said to be periodic if N0 is the smallest positive integer called the fundamental period (dimensionless) W0 = 2p/N0 = the fundamental angular frequency (radians)

  13. DT Sinusoidal Signals n is dimensionless (sample number) W0and f have units of radians x[n] may or may not be periodic periodic if W0 is a rational multiple of 2p,i.e.,

  14. DT Unit Impulse • DT Unit impulse (Kronecker delta function) • Properties:

  15. Unit Step Function u [n] can be written as a sum of shifted unit Impulse as

  16. Exponential Signals

  17. Signal Metrics • Energy • Power • Magnitude • Area

  18. Energy An infinite-length sequence with finite sample values may or may not have finite energy

  19. 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

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

  21. Magnitude & Area

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