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36<br />

Signals and Spectra Chap. 2<br />

w(t)<br />

Waveform decays<br />

to zero before<br />

t=<br />

Waveform decays<br />

to zero before<br />

t=<br />

T 2T 3T 4T 5T 6T 7T<br />

t<br />

(a) Physical Waveform<br />

w(t)<br />

Waveform extends<br />

t=<br />

Waveform extends<br />

to t=<br />

T 2T 3T 4T 5T 6T 7T<br />

t<br />

(b) Math Model Waveform<br />

Figure 2–1<br />

Physical and mathematical waveforms.<br />

signals will be given in a subsequent section.) All physical signals are energy signals,<br />

although we generally use power signal mathematical models to simplify the analysis.<br />

In summary, waveforms may often be classified as signals or noise, digital or analog,<br />

deterministic or nondeterministic, physically realizable or nonphysically realizable, and<br />

belonging to the power or energy type. Additional classifications, such as periodic and<br />

nonperiodic, will be given in the next section.<br />

Time Average Operator<br />

Some useful waveform characteristics are the direct “current” (DC) value, average power, and<br />

root-mean-square (RMS) value. Before these concepts are reviewed, the time average operator<br />

needs to be defined.<br />

DEFINITION.<br />

The time average operator † is given by<br />

1<br />

8[# ]9 = lim<br />

T: q T L<br />

T/2<br />

-T/2<br />

[# ] dt<br />

(2–1)<br />

† In Appendix B, the ensemble average operator is defined.

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