Repetitive signals A repetitive signal (Fig. That is, for a voltage waveform, V(t) = V(t + T). In other words, if you advance along the time line by exactly one period (T), then the voltage, polarity and direction of change of the waveform will be repeated.

The nature of the periodic waveform is such that each waveform is identical at like points along the time line. Examples of periodic signals include sine waves, square waves, sawtooth waves, triangle waves, and so forth. 2.1C) is one that exactly repeats itself on a regular basis. 2.1B) refers to a signal that changes so slowly over long times that it possesses characteristics more like static signals than dynamic (i.e. The term quasistatic means вЂnearly unchangingвЂ™, so a quasistatic signal (Fig. a continuous wave, constant amplitude RF signal applied to an envelope detector. This type of signal does not occur at radio frequencies because it is DC, but some RF circuits may produce a DC level, e.g. Such a signal is essentially a DC level, so must be processed in low drift DC amplifier circuits. 2.1A) is, by definition, unchanging over a very long period of time (Tlong in Fig.

Static and quasistatic signals A static signal (Fig. Each of these categories has certain properties that can profoundly influence appropriate design decisions. The time domain classes of signals include: static, quasistatic, periodic, repetitive, transient, random, and chaotic. We will therefore consider signals of the form v = f(t) or i = f(t). Signals can be categorized several ways, but one of the most fundamental is according to time domain behaviour (the other major category is frequency domain). In this chapter we will take a look at signals and noise, and how each affects the design of amplification and other RF circuits. Types of signals The nature of signals, and their relationship to noise and interfering signals, determines appropriate design all the way from the system level down to the component selection level.

Fourier series bipolar square wave