![]() If viewing a single cycle it would be hard to distinguish them. So the two types of sinewave are quite similar when viewed in the time domain. Figure 3: Spectrum of simple sinewave Figure 4: Spectrum of swept sinewave As we can see the sinewave has one dominant frequency spike, whilst the swept sinewave shows a spread of frequencies representing the range of the sweep from 1Hz to 10Hz. The simple sine wave has a fundamental frequency of 1Hz, but the swept sine wave has a varying frequency, starting at 1Hz and finishing at 10Hz over the 2 seconds time period.įigures 3 and 4 show the simple sinewave and swept sinewave in the frequency domain. That is, the time between the peaks is reducing. We can seen the simple sine wave is a repeating pattern, but the swept sine wave is increasing in frequency. Figure 1: A Simple Sinewave Figure 2: A Swept Sinewave This article uses swept sinewaves to explain filtering, so first we must understand what they are. ![]() To begin we will cover some basics of signal processing. This note attempts to explain the differences between types of filter and the effects of the parameters of those filters. Recently when discussing with an engineering student the characteristics of filters, it became clear that some confusion exists around this subject area.
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